jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
Papers on Graph neural network(GNN)
☆761Updated last year
Alternatives and similar repositories for Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress:
Users that are interested in Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress are comparing it to the libraries listed below
- Simple reference implementation of GraphSAGE.☆1,007Updated 4 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆837Updated 3 years ago
- Graph Convolutional Networks (GCNs)☆915Updated 7 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆795Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,208Updated 3 years ago
- Paper Lists for Graph Neural Networks☆2,243Updated last year
- ☆486Updated 4 years ago
- resources for graph convolutional networks (图卷积神经网络相关资源)☆888Updated 5 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆641Updated last year
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,251Updated last year
- Official PyTorch Implementation of SAGPool - ICML 2019☆370Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆636Updated 2 years ago
- Representation-Learning-on-Heterogeneous-Graph☆439Updated 5 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,166Updated last year
- Graph Markov Neural Networks☆408Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆465Updated 6 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆524Updated 3 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,568Updated last year
- Position-aware Graph Neural Networks☆398Updated 4 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆502Updated 3 years ago
- Heterogeneous Graph Neural Network☆1,117Updated 4 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆480Updated 2 years ago
- Semi-supervised learning with graph embeddings☆903Updated 5 years ago
- gnn explainer☆931Updated 6 months ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,151Updated 2 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆808Updated 2 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆610Updated 7 months ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- ☆214Updated 5 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆303Updated last year