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
☆39Updated 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☆62Updated last year
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆101Updated 4 years ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆67Updated 2 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆114Updated last year
- Implementation of GraphKan with torch geometrics and its application on signal classification☆57Updated 7 months ago
- Official implementation of MAG-GNN: an RL-boosted graph learning framework.☆15Updated last year
- GraphSAGE and GAT for link prediction.☆85Updated 5 years ago
- Transformer-based Spectral Graph Neural Networks☆79Updated 3 months ago
- ☆105Updated 10 months ago
- Sandbox to analysis and benchmarking Graph Transformer Neural Networks☆33Updated last year
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆61Updated last year
- A list for GNNs and related works.☆86Updated 4 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆154Updated 8 months ago
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆316Updated 2 years ago
- ☆95Updated 2 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆41Updated 5 months ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆86Updated 7 months ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆133Updated 2 years ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆39Updated last month
- ☆48Updated 2 months ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆249Updated 2 years ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆39Updated 7 months ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆82Updated 2 months ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆87Updated 3 years ago
- An unofficial implementation of Graph Transformer (Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classificat…☆30Updated 8 months ago
- here you can find the material used for our Tutorials☆100Updated 2 years ago
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆223Updated 4 months ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆133Updated 5 months ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆58Updated 2 years ago
- Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecul…☆54Updated 11 months ago