ki-ljl / GNNs-for-Node-Classification
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.
☆134Updated last year
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
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆54Updated 10 months ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆107Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆168Updated 10 months ago
- PyTorch示例代码； 复现GNN模型☆120Updated 3 years ago
- ☆106Updated last year
- 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
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆134Updated 2 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆87Updated 2 years ago
- The source code of HeCo☆160Updated 2 years ago
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆36Updated last year
- Graph model implementation☆139Updated 2 years ago
- ☆79Updated 4 months ago
- KDD'22☆60Updated 2 years ago
- ☆23Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆53Updated last year
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆111Updated 3 years ago
- ☆95Updated 3 years ago
- This is a repository used to preserve codes about GNNs.☆27Updated 2 years ago
- gnn for link prediction，图神经网络用于链接预测。☆44Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆106Updated 8 months ago
- PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…☆65Updated last year
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆113Updated last year
- ☆46Updated 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。☆93Updated last year
- Pytorch implementation of Relational GCN for node classification☆73Updated last year
- A Survey of Learning from Graphs with Heterophily☆125Updated 2 weeks ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆71Updated 3 years ago
- ☆28Updated 5 months ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆57Updated 2 years ago