kepsail / ie-HGCNLinks
Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021
☆104Updated 9 months ago
Alternatives and similar repositories for ie-HGCN
Users that are interested in ie-HGCN are comparing it to the libraries listed below
Sorting:
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆176Updated last year
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆118Updated 3 years ago
- The source code of HeCo☆167Updated 3 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated 2 years ago
- ☆115Updated last year
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆46Updated 3 years ago
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆21Updated last year
- KDD'22☆64Updated 2 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆150Updated 2 years ago
- ☆97Updated 4 years ago
- Heterogeneous Graph Contrastive Multi-view Learning, SDM 23☆23Updated 2 years ago
- Datasets-for-Heterogeneous-Graph☆134Updated 5 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆65Updated last year
- Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"☆35Updated 3 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆112Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆93Updated 3 years ago
- Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"☆37Updated 4 years ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆138Updated 2 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆45Updated 3 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆259Updated 4 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆247Updated 5 years ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆116Updated 4 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- ☆47Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆332Updated last year
- ☆270Updated 3 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆329Updated 2 years ago