OuYangg / GNNsLinks
This is a repository used to preserve codes about GNNs.
☆27Updated 3 years ago
Alternatives and similar repositories for GNNs
Users that are interested in GNNs are comparing it to the libraries listed below
Sorting:
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆140Updated 2 years ago
- ☆331Updated last year
- PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…☆69Updated 2 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆582Updated 4 years ago
- PyTorch示例代码;复现GNN模型☆137Updated 3 years ago
- ☆70Updated 3 years ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆58Updated 11 months ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆96Updated 3 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆113Updated 2 years ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆59Updated last year
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆451Updated 2 years ago
- gnn for link prediction,图神经网络用于链接预测。☆49Updated 3 years ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆116Updated 4 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆74Updated 4 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆429Updated 4 years ago
- ☆80Updated 11 months ago
- a pytorch implementation of Exploiting Edge Features in Graph Neural Networks.☆46Updated 2 years ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆272Updated 2 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆666Updated 2 years ago
- ☆119Updated 2 years ago
- Graph model implementation☆143Updated 3 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆250Updated 5 years ago
- Hypergraph Neural Networks (AAAI 2019)☆799Updated 3 years ago
- Representation learning on dynamic graphs using self-attention networks☆302Updated 2 years ago
- Python 3 supported version for DySAT☆12Updated 2 years ago
- ☆63Updated 4 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆269Updated 2 years ago
- ☆17Updated 4 years ago
- Implementation codes for AAAI23 paper "Dynamic Heterogeneous Graph Attention Neural Architecture Search"☆35Updated 2 years ago
- ☆11Updated 3 years ago