chennnM / GCNII
PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
☆340Updated 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☆471Updated 2 years ago
- ☆294Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆320Updated 9 months ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆268Updated last year
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆291Updated last year
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆477Updated 2 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆189Updated 9 months ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆232Updated 4 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆368Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated last year
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆209Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆634Updated 2 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated last month
- Graph Auto-Encoder in PyTorch☆423Updated 10 months ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆315Updated last year
- ☆485Updated 4 years ago
- A curated list for awesome self-supervised learning for graphs.☆380Updated 2 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆329Updated 4 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆491Updated 6 months ago
- ☆263Updated 2 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆120Updated 9 months ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆325Updated last year
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆540Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆461Updated 6 years ago
- Position-aware Graph Neural Networks☆398Updated 4 years ago
- Representation-Learning-on-Heterogeneous-Graph☆439Updated 4 years ago
- Hierarchical Graph Pooling with Structure Learning☆335Updated 3 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆633Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆345Updated 2 years ago