khuangaf / PyTorch-Geometric-YooChoose
This is a tutorial for PyTorch Geometric on the YooChoose dataset
☆317Updated 5 years ago
Alternatives and similar repositories for PyTorch-Geometric-YooChoose:
Users that are interested in PyTorch-Geometric-YooChoose are comparing it to the libraries listed below
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆332Updated 4 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆346Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆641Updated last year
- Representation-Learning-on-Heterogeneous-Graph☆440Updated 5 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆371Updated last year
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 2 years ago
- Simple reference implementation of GraphSAGE.☆1,012Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆469Updated 6 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆503Updated 3 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 3 months ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆636Updated 2 years ago
- ☆487Updated 4 years ago
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆501Updated 2 months ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,173Updated this week
- ☆349Updated 4 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆481Updated 2 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆484Updated 4 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆553Updated 3 years ago
- Graph Markov Neural Networks☆408Updated 4 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆524Updated 4 years ago
- Graph Neural Network☆266Updated 3 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated 9 months ago
- code of HetGNN☆400Updated 5 years ago
- The implement of GNN based on Pytorch☆200Updated last year
- A repository for code accompanying my Medium posts.☆65Updated 2 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆839Updated 3 years ago
- CS224W Course Notes☆303Updated 4 years ago