Popular GitHub Repositories for Gnn

An Industrial Graph Neural Network Framework

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)

A PyTorch Graph Neural Network Library

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch

SPIGA: Shape Preserving Facial Landmarks with Graph Attention Networks.

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (GMN, ICML 2019).

Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

A reading list for deep graph learning acceleration.

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

The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

TPAMI 2022