zyx423 / Graph-EmbedddingLinks
Reimplementation of Graph Embedding methods by Pytorch.
☆177Updated 3 years ago
Alternatives and similar repositories for Graph-Embeddding
Users that are interested in Graph-Embeddding are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆116Updated 4 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆182Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 8 months ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆252Updated 5 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆115Updated 2 years ago
- ☆99Updated 4 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆96Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 3 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆68Updated last year
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆194Updated last year
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆276Updated 3 years ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆141Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆338Updated last year
- official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"☆43Updated 3 years ago
- ☆276Updated 3 years ago
- Semi-Supervised classification with Graph Convolution Networks using Pytorch☆53Updated 4 years ago
- Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021☆107Updated last year
- Structural Deep Clustering Network☆288Updated 2 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆119Updated 3 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆114Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- Deep Attention Embedding Graph Clustering(19IJCAI)☆34Updated 4 years ago
- ☆336Updated last year
- ☆72Updated 3 years ago
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆38Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆233Updated 2 years ago
- Graph Attention Auto-Encoders☆79Updated 2 years ago
- ☆77Updated 4 years ago