zhao-tong / GNNs-easy-to-useLinks
An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.
☆62Updated 5 years ago
Alternatives and similar repositories for GNNs-easy-to-use
Users that are interested in GNNs-easy-to-use are comparing it to the libraries listed below
Sorting:
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆232Updated 2 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Updated 2 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Updated 2 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆117Updated 5 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 2 months ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- HDGI code☆63Updated 5 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆150Updated 2 years ago
- [WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization☆77Updated 4 years ago
- A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).☆129Updated 4 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- ☆302Updated 3 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆334Updated last year
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆323Updated last year
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆239Updated 2 years ago
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆46Updated 3 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆75Updated 3 years ago
- An implementation of "Graph Structural-topic Neural Network"☆73Updated 5 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆118Updated 3 years ago
- The source code of HeCo☆168Updated 3 years ago
- ☆75Updated 3 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆300Updated 2 years ago
- tNodeEmbed☆79Updated 2 years ago
- ☆98Updated 4 years ago