jamesYu365 / EGAT
a pytorch implementation of Exploiting Edge Features in Graph Neural Networks.
☆44Updated last year
Alternatives and similar repositories for EGAT:
Users that are interested in EGAT are comparing it to the libraries listed below
- ☆68Updated 2 years ago
- Re-implementation of Exploiting Edge Features in Graph Neural Networks☆11Updated 2 years ago
- Implementation codes for AAAI23 paper "Dynamic Heterogeneous Graph Attention Neural Architecture Search"☆22Updated last year
- ☆57Updated 4 years ago
- PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…☆64Updated last year
- PyTorch示例代码;复现GNN模型☆120Updated 3 years ago
- ☆30Updated 3 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆86Updated 2 years ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆244Updated 2 years ago
- The PyTorch version of ChebyNet.☆34Updated last month
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆111Updated 3 years ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆103Updated 4 years ago
- This is a repository used to preserve codes about GNNs.☆27Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆76Updated 2 months ago
- GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.☆88Updated 2 weeks ago
- GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks☆37Updated 5 years ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆61Updated last year
- ☆104Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆113Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆120Updated 10 months ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆36Updated 9 months ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆131Updated last year
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆53Updated 8 months ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆73Updated 4 months ago
- A curated list of graph reinforcement learning papers.☆69Updated 3 years ago
- ☆95Updated 3 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆105Updated 2 years ago
- A collection of resources on attention-based graph neural networks☆63Updated last year
- ☆41Updated 3 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆77Updated 3 years ago