ki-ljl / GNNs-for-Node-ClassificationLinks
Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Graph Attention Network), which will continue to be updated in the future.
☆138Updated 2 years ago
Alternatives and similar repositories for GNNs-for-Node-Classification
Users that are interested in GNNs-for-Node-Classification are comparing it to the libraries listed below
Sorting:
- ☆115Updated last year
- PyTorch示例代码;复现GNN模型☆132Updated 3 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆176Updated last year
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆112Updated 2 years ago
- ☆80Updated 9 months ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆59Updated last year
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆62Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago
- KDD'22☆64Updated 2 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 of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆93Updated 3 years ago
- A Survey of Learning from Graphs with Heterophily☆146Updated 6 months ago
- Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…☆64Updated last year
- ☆47Updated 2 years ago
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆21Updated last year
- PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…☆68Updated 2 years ago
- The source code of HeCo☆167Updated 3 years ago
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆38Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆63Updated 2 years ago
- Graph model implementation☆142Updated 3 years ago
- Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021☆104Updated 9 months ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆117Updated 3 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021☆166Updated last year
- 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。☆98Updated 4 months ago
- (WWW 2021) Source code of PC-GNN☆106Updated 3 years ago
- ☆57Updated 3 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆130Updated last year
- ☆17Updated 3 years ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆210Updated 2 months ago