Jhy1993 / HANLinks
Heterogeneous Graph Neural Network
☆1,169Updated 5 years ago
Alternatives and similar repositories for HAN
Users that are interested in HAN are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆663Updated 2 years ago
- code of HetGNN☆412Updated 5 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆833Updated 2 years ago
- Representation-Learning-on-Heterogeneous-Graph☆443Updated 5 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆867Updated last year
- Simple reference implementation of GraphSAGE.☆1,033Updated 5 years ago
- Semi-supervised learning with graph embeddings☆929Updated 5 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,800Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,050Updated 2 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆428Updated 4 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆491Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆650Updated 2 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆578Updated 3 years ago
- This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.☆931Updated last week
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆533Updated 3 years ago
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆627Updated last year
- Implementation of R-GCNs for Relational Link Prediction☆460Updated 2 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,215Updated 6 months ago
- How Powerful are Graph Neural Networks?☆1,246Updated 4 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆803Updated 2 years ago
- gnn explainer☆1,006Updated last year
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆325Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆845Updated 3 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆332Updated 2 years ago
- Papers on Graph neural network(GNN)☆767Updated 2 years ago
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆507Updated 3 weeks ago
- Materials for DGL hands-on tutorial in WWW 2020☆504Updated 4 years ago
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆448Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆473Updated 2 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆950Updated last year