TGT, TKDE 2022

[ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"

The PyTorch implementation of LightGCN

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

Code for HCCF model proposed in Hypergraph Contrastive Collaborative Filtering in SIGIR'2022

The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation

Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)

[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Dat…

The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》

A Curated List of Must-read Papers on Recommender System.

Pytorch implementation for paper: Knowledge Graph Contrastive Learning for Recommendation

LSUN Dataset Documentation and Demo Code

Deep Learning Zero to All - Pytorch

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

HDGI code

Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

Part of my daily plan for studying C++.