ZhiyangLiang / GraphSAGE-GCN-GATLinks
☆11Updated 3 years ago
Alternatives and similar repositories for GraphSAGE-GCN-GAT
Users that are interested in GraphSAGE-GCN-GAT 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…☆145Updated 2 years ago
- ☆17Updated 4 years ago
- PyTorch示例代码;复现GNN模型☆138Updated 4 years ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆571Updated 2 years ago
- This repository mainly lists some the latest research on graph neural network theory.☆98Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆137Updated last year
- A Survey of Learning from Graphs with Heterophily☆155Updated 10 months ago
- A multi-backend graph learning library.☆241Updated 5 months ago
- ☆125Updated 2 years ago
- a pytorch implementation of Exploiting Edge Features in Graph Neural Networks.☆46Updated 2 years ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆232Updated last month
- Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…☆66Updated 2 years ago
- ☆81Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆181Updated last year
- PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…☆71Updated 2 years ago
- This is a repository used to preserve codes about GNNs.☆27Updated 3 years ago
- A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。☆31Updated 2 years ago
- ☆73Updated 3 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆135Updated last year
- ☆242Updated last year
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆286Updated 2 years ago
- Codes for ICLR 2024 paper "FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction"☆36Updated last year
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆77Updated 4 years ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆59Updated last year
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆95Updated 3 years ago
- ☆340Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆267Updated last year
- Implementation codes for AAAI23 paper "Dynamic Heterogeneous Graph Attention Neural Architecture Search"☆36Updated 2 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆53Updated 2 years ago
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆40Updated 3 years ago