dglai / WWW20-Hands-on-TutorialLinks
Materials for DGL hands-on tutorial in WWW 2020
☆504Updated 4 years ago
Alternatives and similar repositories for WWW20-Hands-on-Tutorial
Users that are interested in WWW20-Hands-on-Tutorial are comparing it to the libraries listed below
Sorting:
- Representation-Learning-on-Heterogeneous-Graph☆443Updated 5 years ago
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆506Updated 7 months ago
- Graph Neural Network☆267Updated 4 years ago
- This is a tutorial for PyTorch Geometric on the YooChoose dataset☆316Updated 6 years ago
- code of HetGNN☆411Updated 5 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆829Updated 2 years ago
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆532Updated 3 years ago
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆325Updated 2 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆659Updated last year
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆801Updated 2 years ago
- Papers on Graph neural network(GNN)☆766Updated last year
- ☆352Updated 5 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆259Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆646Updated 2 years ago
- Heterogeneous Graph Neural Network☆1,155Updated 5 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆468Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆477Updated 6 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 8 months ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆496Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆858Updated last year
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆493Updated 3 years ago
- The learning of the GraphNeuralNetwork☆154Updated 5 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆489Updated 4 years ago
- Simple reference implementation of GraphSAGE.☆1,029Updated 5 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,210Updated 4 months ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆527Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆426Updated 4 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆845Updated 3 years ago