A curated list of community detection research papers with implementations.

Advances on machine learning of graphs, covering the reading list of recent top academic conferences.

Semi-supervised learning with graph embeddings

The implementation for DropMessage.

This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", which is accepted to ICLR 2023.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

A curated (most recent) list of resources for Learning with Noisy Labels

A collection of papers on Graph Structural Learning (GSL)

A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).

A curated collection of adversarial attack and defense on graph data.

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

A curated list of adversarial attacks and defenses papers on graph-structured data.

图深度学习（葡萄书），在线阅读地址： https://datawhalechina.github.io/grape-book

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

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

Paper Lists for Graph Neural Networks

A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.

The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems

Must-read papers on graph neural networks (GNN)

An index of algorithms for few-shot learning/meta-learning on graphs

Collection for Few-shot Learning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

A curated list of resources for Learning with Noisy Labels

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

A multi-backend graph learning library.