chennnM / GCNII
PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
☆346Updated 4 years ago
Alternatives and similar repositories for GCNII:
Users that are interested in GCNII are comparing it to the libraries listed below
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆470Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆271Updated 2 years ago
- ☆296Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆484Updated 2 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆371Updated last year
- Representation learning on dynamic graphs using self-attention networks☆292Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆474Updated 6 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆238Updated 4 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆327Updated last year
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆327Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆348Updated 2 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆303Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆319Updated last year
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated last year
- ☆490Updated 4 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆333Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆640Updated 2 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆404Updated 3 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆191Updated last year
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 4 months ago
- ☆266Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆296Updated last year
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆647Updated last year
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Graph Auto-Encoder in PyTorch☆432Updated last year
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆492Updated 9 months ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆393Updated 10 months ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆591Updated 9 months ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆198Updated 4 years ago