GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks |
Tianxiang Zhao, Xiang Zhang, Suhang Wang |
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code |
50 |
Node Similarity Preserving Graph Convolutional Networks |
Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang |
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code |
49 |
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information |
Enyan Dai, Suhang Wang |
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code |
47 |
Towards Long-term Fairness in Recommendation |
Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang |
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code |
44 |
Denoising Implicit Feedback for Recommendation |
Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, TatSeng Chua |
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43 |
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals |
Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, JiRong Wen |
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code |
43 |
Learning to Drop: Robust Graph Neural Network via Topological Denoising |
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang |
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code |
41 |
Temporal Meta-path Guided Explainable Recommendation |
Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin |
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code |
31 |
Question Rewriting for Conversational Question Answering |
Svitlana Vakulenko, Shayne Longpre, Zhucheng Tu, Raviteja Anantha |
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code |
30 |
Popularity-Opportunity Bias in Collaborative Filtering |
Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee |
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code |
27 |
Sparse-Interest Network for Sequential Recommendation |
Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu |
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code |
26 |
Bipartite Graph Embedding via Mutual Information Maximization |
Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang |
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23 |
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification |
Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam |
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23 |
Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions |
Harrie Oosterhuis, Maarten de Rijke |
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code |
22 |
An Efficient and Effective Framework for Session-based Social Recommendation |
Tianwen Chen, Raymond ChiWing Wong |
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code |
22 |
Pretrained Transformers for Text Ranking: BERT and Beyond |
Andrew Yates, Rodrigo Frassetto Nogueira, Jimmy Lin |
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code |
22 |
Bilateral Variational Autoencoder for Collaborative Filtering |
QuocTuan Truong, Aghiles Salah, Hady W. Lauw |
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21 |
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction |
Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen |
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code |
21 |
Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings |
Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi |
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code |
20 |
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval |
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng |
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code |
20 |
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving |
Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin |
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code |
20 |
Heterogeneous Hypergraph Embedding for Graph Classification |
Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung |
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code |
19 |
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals |
TsungYu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar |
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19 |
Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation |
Kerui Xu, Jingxuan Yang, Jun Xu, Sheng Gao, Jun Guo, JiRong Wen |
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code |
18 |
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications |
Jina Suh, Eric Horvitz, Ryen W. White, Tim Althoff |
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18 |
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation |
Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen |
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16 |
Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction |
Chunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu, Jiadi Yu |
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code |
16 |
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph |
Yu Chen, Ananya Subburathinam, ChingHua Chen, Mohammed J. Zaki |
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code |
15 |
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents |
Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma |
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15 |
Explain and Predict, and then Predict Again |
Zijian Zhang, Koustav Rudra, Avishek Anand |
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15 |
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction |
Nan Wang, Zhen Qin, Xuanhui Wang, Hongning Wang |
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14 |
FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection |
Jia Li, Shimin Di, Yanyan Shen, Lei Chen |
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code |
14 |
Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets |
Ting Liang, Guanxiong Zeng, Qiwei Zhong, Jianfeng Chi, Jinghua Feng, Xiang Ao, Jiayu Tang |
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13 |
Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging |
Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke |
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13 |
Temporal Cross-Effects in Knowledge Tracing |
Chenyang Wang, Weizhi Ma, Min Zhang, Chuancheng Lv, Fengyuan Wan, Huijie Lin, Taoran Tang, Yiqun Liu, Shaoping Ma |
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13 |
Information to Wisdom: Commonsense Knowledge Extraction and Compilation |
Simon Razniewski, Niket Tandon, Aparna S. Varde |
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13 |
User Response Models to Improve a REINFORCE Recommender System |
Minmin Chen, Bo Chang, Can Xu, Ed H. Chi |
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12 |
Shifting Consumption towards Diverse Content on Music Streaming Platforms |
Christian Hansen, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas |
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12 |
Towards Ordinal Suicide Ideation Detection on Social Media |
Ramit Sawhney, Harshit Joshi, Saumya Gandhi, Rajiv Ratn Shah |
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12 |
RePBubLik: Reducing Polarized Bubble Radius with Link Insertions |
Shahrzad Haddadan, Cristina Menghini, Matteo Riondato, Eli Upfal |
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12 |
Personalization in Practice: Methods and Applications |
Dmitri Goldenberg, Kostia Kofman, Javier Albert, Sarai Mizrachi, Adam Horowitz, Irene Teinemaa |
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11 |
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction |
Shuxi Zeng, Murat Ali Bayir, Joseph J. Pfeiffer III, Denis Charles, Emre Kiciman |
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11 |
Unbiased Learning to Rank in Feeds Recommendation |
Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang |
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code |
10 |
Local Collaborative Autoencoders |
Minjin Choi, Yoonki Jeong, Joonseok Lee, Jongwuk Lee |
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code |
10 |
Learning User Representations with Hypercuboids for Recommender Systems |
Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou |
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code |
9 |
Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities |
Guansong Pang, Longbing Cao, Charu Aggarwal |
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code |
9 |
Towards Scalable Spectral Embedding and Data Visualization via Spectral Coarsening |
Zhiqiang Zhao, Ying Zhang, Zhuo Feng |
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8 |
Explainable Recommendation with Comparative Constraints on Product Aspects |
TrungHoang Le, Hady W. Lauw |
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8 |
A Black-Box Attack Model for Visually-Aware Recommender Systems |
Rami Cohen, Oren Sar Shalom, Dietmar Jannach, Amihood Amir |
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code |
8 |
Fairness-Aware Recommendation in Multi-Sided Platforms |
Masoud Mansoury |
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code |
8 |
DeepIS: Susceptibility Estimation on Social Networks |
Wenwen Xia, Yuchen Li, Jun Wu, Shenghong Li |
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8 |
Time-Series Event Prediction with Evolutionary State Graph |
Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren |
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8 |
Scalable Graph Neural Networks with Deep Graph Library |
Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis |
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code |
8 |
Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems |
Xuezhi Wang, Nithum Thain, Anu Sinha, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel |
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7 |
Learning Dynamic Embeddings for Temporal Knowledge Graphs |
Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang |
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7 |
Unsupervised Attributed Network Embedding via Cross Fusion |
Guosheng Pan, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu |
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7 |
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams |
YenYu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec |
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7 |
DECAF: Deep Extreme Classification with Label Features |
Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma |
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code |
7 |
Hierarchical Metadata-Aware Document Categorization under Weak Supervision |
Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han |
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code |
7 |
Neural Structured Learning: Training Neural Networks with Structured Signals |
Arjun Gopalan, DaCheng Juan, Cesar Ilharco Magalhaes, ChunSung Ferng, Allan Heydon, ChunTa Lu, Philip Pham, George Yu, Yicheng Fan, Yueqi Wang |
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7 |
Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph |
Riku Togashi, Mayu Otani, Shin'ichi Satoh |
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code |
6 |
Relation-aware Meta-learning for E-commerce Market Segment Demand Prediction with Limited Records |
Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao |
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code |
6 |
Interpretable Ranking with Generalized Additive Models |
Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian |
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6 |
Category Recognition in E-Commerce using Sequence-to-Sequence Hierarchical Classification |
Idan Hasson, Slava Novgorodov, Gilad Fuchs, Yoni Acriche |
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code |
6 |
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising |
Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai |
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code |
6 |
Real-time Streaming of Gait Assessment for Parkinson's Disease |
Cristopher Flagg, Ophir Frieder, Sean MacAvaney, Gholam Motamedi |
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code |
6 |
Deconfounding with Networked Observational Data in a Dynamic Environment |
Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li |
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6 |
FACE-KEG: Fact Checking Explained using KnowledgE Graphs |
Nikhita Vedula, Srinivasan Parthasarathy |
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6 |
Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users |
Roger Zhe Li, Julián Urbano, Alan Hanjalic |
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code |
5 |
Real-time Relevant Recommendation Suggestion |
Ruobing Xie, Rui Wang, Shaoliang Zhang, Zhihong Yang, Feng Xia, Leyu Lin |
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code |
5 |
SoMin.ai: Personality-Driven Content Generation Platform |
Aleksandr Farseev, Qi Yang, Andrey Filchenkov, Kirill Lepikhin, YuYi ChuFarseeva, DaronBenjamin Loo |
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code |
5 |
Generating Tips from Product Reviews |
Sharon Hirsch, Slava Novgorodov, Ido Guy, Alexander Nus |
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code |
5 |
Evently: Modeling and Analyzing Reshare Cascades with Hawkes Processes |
Quyu Kong, Rohit Ram, MarianAndrei Rizoiu |
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code |
5 |
Semi-Supervised Text Classification via Self-Pretraining |
Payam Karisani, Negin Karisani |
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5 |
Federated Deep Knowledge Tracing |
Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang |
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5 |
Theoretical Understandings of Product Embedding for E-commerce Machine Learning |
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan |
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4 |
Origin-Aware Next Destination Recommendation with Personalized Preference Attention |
Nicholas Lim, Bryan Hooi, SeeKiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan |
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code |
4 |
WSDM 2021 Tutorial on Conversational Recommendation Systems |
Zuohui Fu, Yikun Xian, Yongfeng Zhang, Yi Zhang |
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code |
4 |
TwiScraper: A Collaborative Project to Enhance Twitter Data Collection |
Didier Henry |
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code |
4 |
Advances in Bias-aware Recommendation on the Web |
Ludovico Boratto, Mirko Marras |
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code |
4 |
Fast Disjunctive Candidate Generation Using Live Block Filtering |
Antonio Mallia, Michal Siedlaczek, Torsten Suel |
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code |
4 |
Explanation as a Defense of Recommendation |
Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang |
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code |
4 |
Diverse User Preference Elicitation with Multi-Armed Bandits |
Javier Parapar, Filip Radlinski |
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code |
4 |
Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce |
Junhao Zhang, Weidi Xu, Jianhui Ji, Xi Chen, Hongbo Deng, Keping Yang |
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code |
3 |
Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems |
Hao Chen, Xin Xin, Dong Wang, Yue Ding |
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code |
3 |
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems |
Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui |
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code |
3 |
Online Post-Processing in Rankings for Fair Utility Maximization |
Ananya Gupta, Eric Johnson, Justin Payan, Aditya Kumar Roy, Ari Kobren, Swetasudha Panda, JeanBaptiste Tristan, Michael L. Wick |
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3 |
Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network |
Yuanzhen Xie, Zijing Ou, Liang Chen, Yang Liu, Kun Xu, Carl Yang, Zibin Zheng |
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code |
3 |
Event-Driven Query Expansion |
Guy D. Rosin, Ido Guy, Kira Radinsky |
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code |
3 |
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks |
Xichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao, Hongbo Deng |
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code |
3 |
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks |
Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han |
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code |
3 |
A Unifying Framework to Identify Dense Subgraphs on Streams: Graph Nuclei to Hypergraph Cores |
Kasimir Gabert, Ali Pinar, Ümit V. Çatalyürek |
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code |
3 |
Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks |
Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta |
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code |
3 |
WSDM 2021 Tutorial on Systematic Challenges and Computational Solutions on Bias and Unfairness in Peer Review |
Nihar B. Shah |
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code |
3 |
Quotebank: A Corpus of Quotations from a Decade of News |
Timoté Vaucher, Andreas Spitz, Michele Catasta, Robert West |
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code |
3 |
Abstractive Opinion Tagging |
Qintong Li, Piji Li, Xinyi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke |
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code |
3 |
Long Horizon Forecasting with Temporal Point Processes |
Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi |
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code |
3 |
Balance Maximization in Signed Networks via Edge Deletions |
Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi |
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3 |
FinSense: An Assistant System for Financial Journalists and Investors |
YiTing Liou, ChungChi Chen, TsunHsien Tang, HenHsen Huang, HsinHsi Chen |
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code |
3 |
WULAI-QA: Web Understanding and Learning with AI towards Document-based Question Answering against COVID-19 |
Yuan Zhang, Xiaoqing Zhang, Yichuan Hu, Guanchun Wang, Rui Yan |
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code |
3 |
AnaSearch: Extract, Retrieve and Visualize Structured Results from Unstructured Text for Analytical Queries |
Tongliang Li, Lei Fang, JianGuang Lou, Zhoujun Li, Dongmei Zhang |
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code |
2 |
GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions |
Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang |
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code |
2 |
Bias-Variance Decomposition for Ranking |
Pannaga Shivaswamy, Ashok Chandrashekar |
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code |
2 |
Improving Cloud Storage Search with User Activity |
Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork |
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code |
2 |
Beyond Relevance: Trustworthy Answer Selection via Consensus Verification |
Lixin Su, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Jiangui Chen, Yanyan Lan, Xueqi Cheng |
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code |
2 |
QueryBlazer: Efficient Query Autocompletion Framework |
Young Mo Kang, Wenhao Liu, Yingbo Zhou |
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code |
2 |
Privacy Monitoring Service for Conversations |
Qiongkai Xu, Chenchen Xu, Lizhen Qu |
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code |
2 |
Birdspotter: A Tool for Analyzing and Labeling Twitter Users |
Rohit Ram, Quyu Kong, MarianAndrei Rizoiu |
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code |
2 |
Contextualizing Trending Entities in News Stories |
Marco Ponza, Diego Ceccarelli, Paolo Ferragina, Edgar Meij, Sambhav Kothari |
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code |
2 |
Filter Pruning via Probabilistic Model-based Optimization for Accelerating Deep Convolutional Neural Networks |
Qinghua Li, Cuiping Li, Hong Chen |
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code |
2 |
Predicting Crowd Flows via Pyramid Dilated Deeper Spatial-temporal Network |
Congcong Miao, Jiajun Fu, Jilong Wang, Heng Yu, Botao Yao, Anqi Zhong, Jie Chen, Zekun He |
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code |
2 |
Exploring Personal Knowledge Extraction from Conversations with CHARM |
Anna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum |
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1 |
Enhancing Neural Recommender Models through Domain-Specific Concordance |
Ananth Balashankar, Alex Beutel, Lakshminarayanan Subramanian |
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code |
1 |
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions |
Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman |
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1 |
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents |
Liang Pang, Qingyao Ai, Jun Xu |
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1 |
ColorfulFeedback: Enhancing Interest Prediction Performance through Multi-dimensional Labeled Feedback from Users |
Yuki Maeda, Shuji Yamaguchi, Tatsuru Higurashi, Kota Tsubouchi |
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1 |
Long-Term Effect Estimation with Surrogate Representation |
Lu Cheng, Ruocheng Guo, Huan Liu |
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code |
1 |
Exploring the Subgraph Density-Size Trade-off via the Lovaśz Extension |
Aritra Konar, Nicholas D. Sidiropoulos |
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code |
1 |
How to Measure Your App: A Couple of Pitfalls and Remedies in Measuring App Performance in Online Controlled Experiments |
Yuxiang Xie, Meng Xu, Evan Chow, Xiaolin Shi |
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1 |
Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals |
Anastasiia Kornilova, Lucas Bernardi |
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1 |
Toward User Engagement Optimization in 2D Presentation |
Liang Wu, Mihajlo Grbovic, Jundong Li |
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1 |
All the Wiser: Fake News Intervention Using User Reading Preferences |
KuanChieh Lo, ShihChieh Dai, Aiping Xiong, Jing Jiang, LunWei Ku |
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1 |
Multilingual and Multimodal Hate Speech Analysis in Twitter |
Gretel Liz De la Peña Sarracén |
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code |
1 |
On the Impact of Predicate Complexity in Crowdsourced Classification Tasks |
Jorge Ramírez, Marcos Báez, Fabio Casati, Luca Cernuzzi, Boualem Benatallah, Ekaterina A. Taran, Veronika A. Malanina |
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1 |
Balanced Influence Maximization in the Presence of Homophily |
Md Sanzeed Anwar, Martin Saveski, Deb Roy |
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1 |
Centrality with Diversity |
Liang Lyu, Brandon Fain, Kamesh Munagala, Kangning Wang |
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1 |
Adversarial Immunization for Certifiable Robustness on Graphs |
Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng |
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1 |
AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation |
Qingqin Wang, Yun Xiong, Yao Zhang, Jiawei Zhang, Yangyong Zhu |
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1 |
Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling |
Justus Isaiah Hibshman, Daniel Gonzalez, Satyaki Sikdar, Tim Weninger |
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code |
1 |
A Practical Federated Learning Framework for Small Number of Stakeholders |
Christian Schneebeli, Saikishore Kalloori, Severin Klingler |
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code |
1 |
AttentionFlow: Visualising Influence in Networks of Time Series |
Minjeong Shin, Alasdair Tran, Siqi Wu, Alexander Patrick Mathews, Rong Wang, Georgiana Lyall, Lexing Xie |
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code |
1 |
Graph Mining with Graph Neural Networks |
Wei Jin |
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code |
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Integrity 2021: Integrity in Social Networks and Media |
Lluis Garcia Pueyo, Anand Bhaskar, Roelof van Zwol, Timos Sellis, Gireeja Ranade, Prathyusha Senthil Kumar, Yu Sun, Joy Zhang |
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Towards Dynamic User Intention in Sequential Recommendation |
Chenyang Wang |
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Triangular Bidword Generation for Sponsored Search Auction |
Zhenqiao Song, Jiaze Chen, Hao Zhou, Lei Li |
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A Semantic Layer Querying Tool |
Renato Stoffalette João |
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Harnessing Big Data for Personalized Medicine |
Eran Segal |
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Beyond Web Search: How Email Search is Different and Why it Matters |
Susan T. Dumais |
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Chebyshev Accelerated Spectral Clustering |
Tianyu Yu, Yonghua Zhao, Rongfeng Huang, Shifang Liu, Xinyin Zhang |
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Deep Recommender Systems Utilizing Side Information |
Amit Livne |
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CONQ: CONtinuous Quantile Treatment Effects for Large-Scale Online Controlled Experiments |
Weinan Wang, Xi Zhang |
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I2PS: An Online Item Intelligent Publishing System in Consumer to Consumer (C2C) Transaction Platform |
Lei Tian, Nanyang Wang, Pan Pan, Bin Wang, Yinghui Xu |
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Community Connect: A Mock Social Media Platform to Study Online Behavior |
Khyati Mahajan, Sourav Roy Choudhury, Sara Levens, Tiffany Gallicano, Samira Shaikh |
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Interpretability and Effectiveness of Machine Learning Methods for Sequence Mining in Various Domains |
Anna Muratova |
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Online Experimentation with Surrogate Metrics: Guidelines and a Case Study |
Weitao Duan, Shan Ba, Chunzhe Zhang |
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Modeling Context Pair Interaction for Pairwise Tasks on Graphs |
Zhen Wang, Bo Zong, Huan Sun |
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β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers |
Dionysis Manousakas, Cecilia Mascolo |
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WoMG: A Library for Word-of-Mouth Cascades Generation |
Federico Cinus, Francesco Bonchi, Corrado Monti, André Panisson |
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Multimodal Machine Learning for Drug Knowledge Discovery |
Guy Shtar |
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Some Thoughts on Computational Natural Language in the 21st Century |
Yoav Shoham |
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Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study |
Dara Bahri, Yi Tay, Che Zheng, Cliff Brunk, Donald Metzler, Andrew Tomkins |
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Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning |
Seungbae Kim, JyunYu Jiang, Wei Wang |
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CalibreNet: Calibration Networks for Multilingual Sequence Labeling |
Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang |
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Data-Sharing Economy: Value-Addition from Data meets Privacy |
Piyush Bagad, Subrata Mitra, Sunny Dhamnani, Atanu R. Sinha, Raunak Gautam, Haresh Khanna |
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