| Heterogeneous Graph Contrastive Learning for Recommendation |
Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo |
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code |
2 |
| Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval |
Taiqiang Wu, Xingyu Bai, Weigang Guo, Weijie Liu, Siheng Li, Yujiu Yang |
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code |
2 |
| Inductive Graph Transformer for Delivery Time Estimation |
Xin Zhou, Jinglong Wang, Yong Liu, Xingyu Wu, Zhiqi Shen, Cyril Leung |
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code |
2 |
| A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter |
Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn |
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code |
2 |
| DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation |
Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang |
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code |
1 |
| SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation |
Boyu Li, Ting Guo, Xingquan Zhu, Qian Li, Yang Wang, Fang Chen |
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code |
1 |
| DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation |
Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang |
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code |
1 |
| Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network |
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim |
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code |
1 |
| Counterfactual Collaborative Reasoning |
Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang |
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code |
1 |
| VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation |
Lingyun Lu, Bang Wang, Zizhuo Zhang, Shenghao Liu, Han Xu |
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code |
1 |
| A Bird's-eye View of Reranking: From List Level to Page Level |
Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu |
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code |
1 |
| Minimum Entropy Principle Guided Graph Neural Networks |
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su |
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code |
1 |
| Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning |
Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang |
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code |
1 |
| Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts |
Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han |
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code |
1 |
| CoQEx: Entity Counts Explained |
Shrestha Ghosh, Simon Razniewski, Gerhard Weikum |
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code |
1 |
| Beyond Hard Negatives in Product Search: Semantic Matching Using One-Class Classification (SMOCC) |
Arindam Bhattacharya, Ankit Gandhi, Vijay Huddar, Ankith M. S, Aayush Moroney, Atul Saroop, Rahul Bhagat |
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code |
0 |
| Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking |
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, JiRong Wen |
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code |
0 |
| Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences |
Veronika Arefieva, Roman Egger, Michael Schrefl, Markus Schedl |
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code |
0 |
| One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation |
Chenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang Li, Guoqiang Shu, Xiaohu Qie, Di Niu |
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code |
0 |
| A Semantic Search Framework for Similar Audit Issue Recommendation in Financial Industry |
Chuchu Zhang, Can Song, Samarth Agarwal, Huayu Wu, Xuejie Zhang, John Jianan Lu |
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code |
0 |
| Disentangled Negative Sampling for Collaborative Filtering |
Riwei Lai, Li Chen, Yuhan Zhao, Rui Chen, Qilong Han |
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code |
0 |
| Meta Policy Learning for Cold-Start Conversational Recommendation |
Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu |
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code |
0 |
| Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation |
Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren |
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code |
0 |
| Multi-Intention Oriented Contrastive Learning for Sequential Recommendation |
Xuewei Li, Aitong Sun, Mankun Zhao, Jian Yu, Kun Zhu, Di Jin, Mei Yu, Ruiguo Yu |
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code |
0 |
| IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation |
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao |
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code |
0 |
| UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems |
Jafar Afzali, Aleksander Mark Drzewiecki, Krisztian Balog, Shuo Zhang |
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code |
0 |
| A Synthetic Search Session Generator for Task-Aware Information Seeking and Retrieval |
Shawon Sarkar, Chirag Shah |
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code |
0 |
| Understanding the Effect of Outlier Items in E-commerce Ranking |
Fatemeh Sarvi |
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code |
0 |
| Simplifying Graph-based Collaborative Filtering for Recommendation |
Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu |
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code |
0 |
| A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping |
Mozhdeh Ariannezhad, Ming Li, Sebastian Schelter, Maarten de Rijke |
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code |
0 |
| Self-Supervised Group Graph Collaborative Filtering for Group Recommendation |
Kang Li, ChangDong Wang, JianHuang Lai, Huaqiang Yuan |
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code |
0 |
| Visual Matching is Enough for Scene Text Retrieval |
Lilong Wen, Yingrong Wang, Dongxiang Zhang, Gang Chen |
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code |
0 |
| Slate-Aware Ranking for Recommendation |
Yi Ren, Xiao Han, Xu Zhao, Shenzheng Zhang, Yan Zhang |
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code |
0 |
| MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation |
Senrong Xu, Liangyue Li, Yuan Yao, Zulong Chen, Han Wu, Quan Lu, Hanghang Tong |
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code |
0 |
| An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages |
Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu |
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code |
0 |
| AgAsk: A Conversational Search Agent for Answering Agricultural Questions |
Hang Li, Bevan Koopman, Ahmed Mourad, Guido Zuccon |
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code |
0 |
| Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation |
Jiarui Qin, Jiachen Zhu, Yankai Liu, Junchao Gao, Jianjie Ying, Chaoxiong Liu, Ding Wang, Junlan Feng, Chao Deng, Xiaozheng Wang, Jian Jiang, Cong Liu, Yong Yu, Haitao Zeng, Weinan Zhang |
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code |
0 |
| A Causal View for Item-level Effect of Recommendation on User Preference |
Wei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu, Congfu Xu |
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code |
0 |
| Exploiting Explicit and Implicit Item relationships for Session-based Recommendation |
Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu |
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code |
0 |
| Unbiased Knowledge Distillation for Recommendation |
Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He |
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code |
0 |
| Multimodal Pre-Training with Self-Distillation for Product Understanding in E-Commerce |
Shilei Liu, Lin Li, Jun Song, Yonghua Yang, Xiaoyi Zeng |
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code |
0 |
| Towards Universal Cross-Domain Recommendation |
Jiangxia Cao, Shaoshuai Li, Bowen Yu, Xiaobo Guo, Tingwen Liu, Bin Wang |
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code |
0 |
| Relation Preference Oriented High-order Sampling for Recommendation |
Mukun Chen, Xiuwen Gong, YH Jin, Wenbin Hu |
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code |
0 |
| Knowledge Enhancement for Contrastive Multi-Behavior Recommendation |
Hongrui Xuan, Yi Liu, Bohan Li, Hongzhi Yin |
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code |
0 |
| Improving News Recommendation with Channel-Wise Dynamic Representations and Contrastive User Modeling |
Jingkun Wang, Yongtao Jiang, Haochen Li, Wen Zhao |
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code |
0 |
| Search Behavior Prediction: A Hypergraph Perspective |
Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian |
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code |
0 |
| Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation |
Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, JiRong Wen, Wayne Xin Zhao |
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code |
0 |
| Model-based Unbiased Learning to Rank |
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison |
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code |
0 |
| Pairwise Fairness in Ranking as a Dissatisfaction Measure |
Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega |
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code |
0 |
| Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting |
Xiaosu Wang, Yun Xiong, Beichen Kang, Yao Zhang, Philip S. Yu, Yangyong Zhu |
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code |
0 |
| Multi-queue Momentum Contrast for Microvideo-Product Retrieval |
Yali Du, Yinwei Wei, Wei Ji, Fan Liu, Xin Luo, Liqiang Nie |
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code |
0 |
| Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation |
Zhiqi Huang, Puxuan Yu, James Allan |
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code |
0 |
| MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction |
Shuai Wang, Hang Li, Guido Zuccon |
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code |
0 |
| Marginal-Certainty-Aware Fair Ranking Algorithm |
Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai |
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code |
0 |
| Learning Stance Embeddings from Signed Social Graphs |
John PouguéBiyong, Akshay Gupta, Aria Haghighi, Ahmed ElKishky |
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code |
0 |
| Range Restricted Route Recommendation Based on Spatial Keyword |
Hongwei Tang, Detian Zhang |
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code |
0 |
| NGAME: Negative Mining-aware Mini-batching for Extreme Classification |
Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma |
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code |
0 |
| Federated Unlearning for On-Device Recommendation |
Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang |
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code |
0 |
| Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation |
Qingyu Bing, Qiannan Zhu, Zhicheng Dou |
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code |
0 |
| AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models |
Xiaodan Wang, Lei Li, Zhixu Li, Xuwu Wang, Xiangru Zhu, Chengyu Wang, Jun Huang, Yanghua Xiao |
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code |
0 |
| Disentangled Representation for Diversified Recommendations |
Xiaoying Zhang, Hongning Wang, Hang Li |
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code |
0 |
| Knowledge-Adaptive Contrastive Learning for Recommendation |
Hao Wang, Yao Xu, Cheng Yang, Chuan Shi, Xin Li, Ning Guo, Zhiyuan Liu |
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code |
0 |
| Calibrated Recommendations as a Minimum-Cost Flow Problem |
Himan Abdollahpouri, Zahra Nazari, Alex Gain, Clay Gibson, Maria Dimakopoulou, Jesse Anderton, Benjamin A. Carterette, Mounia Lalmas, Tony Jebara |
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code |
0 |
| Generative Slate Recommendation with Reinforcement Learning |
Romain Deffayet, Thibaut Thonet, JeanMichel Renders, Maarten de Rijke |
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code |
0 |
| AutoGen: An Automated Dynamic Model Generation Framework for Recommender System |
Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang |
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code |
0 |
| Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection |
Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, SooHyun Choi, Xia Hu |
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code |
0 |
| Heterogeneous Graph-based Context-aware Document Ranking |
Shuting Wang, Zhicheng Dou, Yutao Zhu |
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code |
0 |
| Graph Summarization via Node Grouping: A Spectral Algorithm |
Arpit Merchant, Michael Mathioudakis, Yanhao Wang |
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code |
0 |
| Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph |
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
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code |
0 |
| Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs |
Linhao Luo, Gholamreza Haffari, Shirui Pan |
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code |
0 |
| CL4CTR: A Contrastive Learning Framework for CTR Prediction |
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu |
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code |
0 |
| Telecommunication Traffic Forecasting via Multi-task Learning |
Xiaochuan Gou, Xiangliang Zhang |
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code |
0 |
| Uncertainty Quantification for Fairness in Two-Stage Recommender Systems |
Lequn Wang, Thorsten Joachims |
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code |
0 |
| Revisiting Code Search in a Two-Stage Paradigm |
Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang |
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code |
0 |
| MMBench: The Match Making Benchmark |
Yongsheng Liu, Yanxing Qi, Jiangwei Zhang, Connie Kou, Qiaolin Chen |
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code |
0 |
| Trustworthy Algorithmic Ranking Systems |
Markus Schedl, Emilia Gómez, Elisabeth Lex |
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code |
0 |
| Proactive Conversational Agents |
Lizi Liao, Grace Hui Yang, Chirag Shah |
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code |
0 |
| AutoML for Deep Recommender Systems: Fundamentals and Advances |
Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao |
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code |
0 |
| DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms |
Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li |
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code |
0 |
| BLADE: Biased Neighborhood Sampling based Graph Neural Network for Directed Graphs |
Srinivas Virinchi, Anoop Saladi |
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code |
0 |
| Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks |
Xing Su, Jian Yang, Jia Wu, Yuchen Zhang |
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code |
0 |
| Generating Explainable Product Comparisons for Online Shopping |
Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko |
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code |
0 |
| Never Too Late to Learn: Regularizing Gender Bias in Coreference Resolution |
Sunyoung Park, Kyuri Choi, Haeun Yu, Youngjoong Ko |
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code |
0 |
| Learning to Distill Graph Neural Networks |
Cheng Yang, Yuxin Guo, Yao Xu, Chuan Shi, Jiawei Liu, Chunchen Wang, Xin Li, Ning Guo, Hongzhi Yin |
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code |
0 |
| S2TUL: A Semi-Supervised Framework for Trajectory-User Linking |
Liwei Deng, Hao Sun, Yan Zhao, Shuncheng Liu, Kai Zheng |
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code |
0 |
| Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data |
M. Eren Akbiyik, Mert Erkul, Killian Kämpf, Vaiva Vasiliauskaite, Nino AntulovFantulin |
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code |
0 |
| Zero to Hero: Exploiting Null Effects to Achieve Variance Reduction in Experiments with One-sided Triggering |
Alex Deng, LoHua Yuan, Naoya Kanai, Alexandre SalamaManteau |
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code |
0 |
| Unbiased and Efficient Self-Supervised Incremental Contrastive Learning |
Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu |
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code |
0 |
| Reducing the Bias of Visual Objects in Multimodal Named Entity Recognition |
Xin Zhang, Jingling Yuan, Lin Li, Jianquan Liu |
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code |
0 |
| Variance-Minimizing Augmentation Logging for Counterfactual Evaluation in Contextual Bandits |
Aaron David Tucker, Thorsten Joachims |
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code |
0 |
| DisKeyword: Tweet Corpora Exploration for Keyword Selection |
Sacha Lévy, Reihaneh Rabbany |
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code |
0 |
| A Tutorial on Domain Generalization |
Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie |
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code |
0 |
| Compliance Analyses of Australia's Online Household Appliances |
Chang How Tan, Vincent C. S. Lee, Jessie Nghiem, Priya Laxman |
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code |
0 |
| Learning to Infer Product Attribute Values From Descriptive Texts and Images |
Pablo Montalvo, Aghiles Salah |
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code |
0 |
| Student Behavior Pattern Mining and Analysis: Towards Smart Campuses |
Teng Guo, Feng Xia |
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code |
0 |
| Local Edge Dynamics and Opinion Polarization |
Nikita Bhalla, Adam Lechowicz, Cameron Musco |
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code |
0 |
| Beyond-Accuracy Goals, Again |
Maarten de Rijke |
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code |
0 |
| Towards Autonomous Driving |
YaQin Zhang |
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code |
0 |
| Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion |
Rishav Hada, Amir Ebrahimi Fard, Sarah Shugars, Federico Bianchi, Patrícia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev |
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code |
0 |
| MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution |
Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang |
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code |
0 |
| Global Counterfactual Explainer for Graph Neural Networks |
Zexi Huang, Mert Kosan, Sourav Medya, Sayan Ranu, Ambuj K. Singh |
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code |
0 |
| Effective Graph Kernels for Evolving Functional Brain Networks |
Xinlei Wang, Jinyi Chen, Bing Tian Dai, Junchang Xin, Yu Gu, Ge Yu |
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code |
0 |
| Self-Supervised Graph Structure Refinement for Graph Neural Networks |
Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye |
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code |
0 |
| Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning |
Tianchi Cai, Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Xierui Song, Li Yu, Lihong Gu, Xiaodong Zeng, Jinjie Gu, Guannan Zhang |
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code |
0 |
| Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild |
Donghyun Son, Byounggyu Lew, Kwanghee Choi, Yongsu Baek, Seungwoo Choi, Beomjun Shin, Sungjoo Ha, Buru Chang |
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code |
0 |
| Few-shot Node Classification with Extremely Weak Supervision |
Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li |
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code |
0 |
| Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation |
Xuanhao Chen, Liwei Deng, Yan Zhao, Kai Zheng |
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code |
0 |
| Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering |
Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
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code |
0 |
| DeMEtRIS: Counting (near)-Cliques by Crawling |
Suman K. Bera, Jayesh Choudhari, Shahrzad Haddadan, Sara Ahmadian |
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code |
0 |
| A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework |
Xu Wang, Lianliang Chen, Hongbo Zhang, Pengkun Wang, Zhengyang Zhou, Yang Wang |
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code |
0 |
| Self-supervised Graph Representation Learning for Black Market Account Detection |
Zequan Xu, Lianyun Li, Hui Li, Qihang Sun, Shaofeng Hu, Rongrong Ji |
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code |
0 |
| Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference |
Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah |
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code |
0 |
| GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection |
Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan |
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code |
0 |
| Alleviating Structural Distribution Shift in Graph Anomaly Detection |
Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang |
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code |
0 |
| Friendly Conditional Text Generator |
Noriaki Kawamae |
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code |
0 |
| Can Pre-trained Language Models Understand Chinese Humor? |
Yuyan Chen, Zhixu Li, Jiaqing Liang, Yanghua Xiao, Bang Liu, Yunwen Chen |
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code |
0 |
| Robust Training of Graph Neural Networks via Noise Governance |
Siyi Qian, Haochao Ying, Renjun Hu, Jingbo Zhou, Jintai Chen, Danny Z. Chen, Jian Wu |
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code |
0 |
| Cooperative Explanations of Graph Neural Networks |
Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, TatSeng Chua |
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code |
0 |
| Towards Faithful and Consistent Explanations for Graph Neural Networks |
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang |
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code |
0 |
| Position-Aware Subgraph Neural Networks with Data-Efficient Learning |
Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding |
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code |
0 |
| Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution |
Shenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang |
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code |
0 |
| CLNode: Curriculum Learning for Node Classification |
Xiaowen Wei, Xiuwen Gong, Yibing Zhan, Bo Du, Yong Luo, Wenbin Hu |
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code |
0 |
| Learning and Maximizing Influence in Social Networks Under Capacity Constraints |
Pritish Chakraborty, Sayan Ranu, Krishna Sri Ipsit Mantri, Abir De |
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code |
0 |
| Beyond Individuals: Modeling Mutual and Multiple Interactions for Inductive Link Prediction between Groups |
Gongzhu Yin, Xing Wang, Hongli Zhang, Chao Meng, Yuchen Yang, Kun Lu, Yi Luo |
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code |
0 |
| Scalable Adversarial Attack Algorithms on Influence Maximization |
Lichao Sun, Xiaobin Rui, Wei Chen |
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code |
0 |
| S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking |
Qiaoyu Tan, Ninghao Liu, Xiao Huang, SooHyun Choi, Li Li, Rui Chen, Xia Hu |
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code |
0 |
| Dependency-aware Self-training for Entity Alignment |
Bing Liu, Tiancheng Lan, Wen Hua, Guido Zuccon |
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code |
0 |
| Weakly Supervised Entity Alignment with Positional Inspiration |
Wei Tang, Fenglong Su, Haifeng Sun, Qi Qi, Jingyu Wang, Shimin Tao, Hao Yang |
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