Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

Python library to detect coordinated campaigns on social media

LINE: Large-scale information network embedding

This project analyzes the results of various models for Link Prediction on Knowledge Graphs using Knowledge Graph Embeddings. It allows to replicate the results in our work "Knowledge Graph Embeddi…

Representation learning for link prediction within social networks

This is a implementation of SDNE (Structural Deep Network embedding)

IJCAI2020

Position-aware Graph Neural Networks

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Datasets, Transforms and Models specific to Computer Vision

A topic-centric list of HQ open datasets.

[CVPR2020] Tensorflow implementation for paper ''Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning''

Framework for evaluating Graph Neural Network models on semi-supervised node classification task