ebrahimpichka / GAT-pt
PyTorch implementation of the Graph Attention Networks (GAT) based on the paper "Graph Attention Network" by Velickovic et al - https://arxiv.org/abs/1710.10903v3
☆43Updated last year
Alternatives and similar repositories for GAT-pt:
Users that are interested in GAT-pt are comparing it to the libraries listed below
- A collection of resources on attention-based graph neural networks☆65Updated last year
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆108Updated 4 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆113Updated 2 years ago
- A list for GNNs and related works.☆91Updated 2 weeks ago
- An unofficial implementation of Graph Transformer (Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classificat…☆31Updated 11 months ago
- GraphSAGE and GAT for link prediction.☆89Updated 5 years ago
- ☆12Updated last month
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆135Updated 2 years ago
- reproduce two famous GNN model, GCN and GAT☆24Updated 3 years ago
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆250Updated last month
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆42Updated 10 months ago
- ☆95Updated 2 years ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆129Updated 2 years ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆63Updated last year
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆134Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 7 months ago
- Implementation of GraphKan with torch geometrics and its application on signal classification☆60Updated 9 months ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆69Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 9 months ago
- here you can find the material used for our Tutorials☆100Updated 3 years ago
- B站GNN教程资料☆140Updated 6 months ago
- An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.☆61Updated 4 years ago
- ☆218Updated 5 months ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆38Updated 3 years ago
- Code of "Totally Dynamic Hypergraph Neural Network"☆23Updated 10 months ago
- Short examples using the PyTorch Geometric Temporal library for temporal Graph Neural Networks (GNN).☆17Updated 3 years ago
- Implement EvolveGCN by DGL.☆26Updated 3 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆302Updated last year
- ☆20Updated last year
- Official implementation of MAG-GNN: an RL-boosted graph learning framework.☆17Updated last year