OuYangg / GNNs
This is a repository used to preserve codes about GNNs.
☆27Updated 2 years ago
Alternatives and similar repositories for GNNs:
Users that are interested in GNNs 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…☆134Updated last year
- PyTorch示例代码;复现GNN模型☆121Updated 3 years ago
- ☆16Updated 3 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆71Updated 3 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆169Updated 11 months ago
- ☆68Updated 2 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆107Updated 2 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆87Updated 2 years ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆55Updated 10 months ago
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆36Updated last year
- ☆23Updated 2 years ago
- Graph model implementation☆139Updated 2 years ago
- Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…☆57Updated last year
- ☆79Updated 4 months ago
- gnn for link prediction,图神经网络用于链接预测。☆45Updated 2 years ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆112Updated 4 years ago
- Python 3 supported version for DySAT☆13Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆107Updated 9 months ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆135Updated 2 years ago
- 图神经网络、图卷积网络、图注意力网络、图自编码网络、时空图神经网络等论文合集。☆94Updated last year
- PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…☆65Updated last year
- ☆107Updated last year
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆233Updated 4 years ago
- 这是GraphSAGE模型在Cora、Citeseer、Pubmed数据集上的复现代码。语言:PyTorch☆26Updated 4 years ago
- ☆58Updated 4 years ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆55Updated 4 months ago
- a pytorch implementation of Exploiting Edge Features in Graph Neural Networks.☆44Updated last year
- This repository mainly lists some the latest research on graph neural network theory.☆98Updated last year
- ☆46Updated 2 years ago
- ☆311Updated 8 months ago