JasonZhangzy1757 / Heterogeneous-Graph-Attention-Network-HAN-PyTorch
☆19Updated last year
Alternatives and similar repositories for Heterogeneous-Graph-Attention-Network-HAN-PyTorch:
Users that are interested in Heterogeneous-Graph-Attention-Network-HAN-PyTorch are comparing it to the libraries listed below
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆132Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆106Updated 7 months ago
- This repository mainly lists some the latest research on graph neural network theory.☆96Updated last year
- Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…☆56Updated last year
- ☆78Updated 3 months ago
- ☆19Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆120Updated 11 months ago
- PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…☆64Updated last year
- Code for OGC and GGCM☆14Updated 5 months ago
- A Survey of Learning from Graphs with Heterophily☆113Updated last month
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆147Updated last year
- B站GNN教程资料☆126Updated 5 months ago
- GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.☆89Updated last month
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆86Updated 2 years ago
- ☆103Updated last year
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆163Updated last year
- ☆48Updated 2 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆238Updated 2 months ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆105Updated 4 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆76Updated 2 months ago
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆36Updated last year
- (WWW 2021) Source code of PC-GNN☆102Updated 3 years ago
- ☆16Updated 3 years ago
- ☆57Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆133Updated 2 years ago
- cs224w(图机器学习)2021冬季课程的colab☆236Updated 3 years ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆199Updated 9 months ago
- Papers about out-of-distribution generalization on graphs.☆164Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆168Updated 9 months ago
- The official implementation of the DGA-GNN algorithm.☆23Updated 7 months ago