PetarV- / DGILinks
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
☆657Updated 3 years ago
Alternatives and similar repositories for DGI
Users that are interested in DGI are comparing it to the libraries listed below
Sorting:
- ☆500Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆485Updated 6 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆473Updated 2 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆652Updated last year
- Simple reference implementation of GraphSAGE.☆1,035Updated 5 years ago
- Position-aware Graph Neural Networks☆399Updated 5 years ago
- Graph Auto-Encoder in PyTorch☆441Updated last year
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 11 months ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆876Updated last year
- ☆302Updated 3 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆323Updated last year
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆496Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆397Updated last year
- How Powerful are Graph Neural Networks?☆1,257Updated 4 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆846Updated 3 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆357Updated 5 years ago
- ☆354Updated 5 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆499Updated 3 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆805Updated 3 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆669Updated 2 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆416Updated 4 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆528Updated 4 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,059Updated 2 years ago
- Strategies for Pre-training Graph Neural Networks☆1,045Updated 2 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆372Updated 2 years ago
- Representation-Learning-on-Heterogeneous-Graph☆445Updated 5 years ago
- Hierarchical Graph Pooling with Structure Learning☆342Updated 4 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆329Updated 2 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆588Updated 4 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆616Updated last year