khuangaf / PyTorch-Geometric-YooChooseLinks
This is a tutorial for PyTorch Geometric on the YooChoose dataset
☆316Updated 6 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
Sorting:
- Materials for DGL hands-on tutorial in WWW 2020☆503Updated 4 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆337Updated 5 years ago
- Representation-Learning-on-Heterogeneous-Graph☆444Updated 5 years ago
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆507Updated 4 months ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Updated 5 years ago
- Position-aware Graph Neural Networks☆402Updated 5 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆492Updated 5 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆491Updated 7 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆274Updated 3 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆678Updated 2 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆808Updated 3 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆662Updated 3 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated last year
- Graph Markov Neural Networks☆411Updated 5 years ago
- ☆356Updated 5 years ago
- A repository for code accompanying my Medium posts.☆65Updated 3 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆528Updated 4 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆143Updated 7 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Updated 6 years ago
- Graph Neural Network☆267Updated 4 years ago
- A tutorial on Graph Convolutional Neural Networks☆318Updated 5 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Updated 2 years ago
- code of HetGNN☆412Updated 5 years ago
- Representation learning on dynamic graphs using self-attention networks☆307Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Updated last year
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆105Updated last year
- Official PyTorch Implementation of SAGPool - ICML 2019☆372Updated 2 years ago
- Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, IC…☆366Updated 2 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆846Updated 3 years ago