Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
☆1,187Jul 31, 2022Updated 3 years ago
Alternatives and similar repositories for deep_gcns_torch
Users that are interested in deep_gcns_torch are comparing it to the libraries listed below
Sorting:
- Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org☆629Jan 23, 2020Updated 6 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Jul 9, 2020Updated 5 years ago
- Graph Neural Network Library for PyTorch☆23,565Updated this week
- Graph Convolutional Networks in PyTorch☆5,399Sep 20, 2020Updated 5 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,650Jun 22, 2023Updated 2 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆806Nov 6, 2022Updated 3 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆848Dec 13, 2021Updated 4 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,077May 6, 2025Updated 10 months ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆474Dec 7, 2022Updated 3 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆548Sep 17, 2020Updated 5 years ago
- SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas☆162Jun 5, 2021Updated 4 years ago
- ☆1,820May 20, 2022Updated 3 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,245Jul 31, 2025Updated 7 months ago
- Must-read papers on graph neural networks (GNN)☆16,735Dec 20, 2023Updated 2 years ago
- links to conference publications in graph-based deep learning☆5,037Feb 7, 2026Updated last month
- ☆303Jul 17, 2022Updated 3 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,117Jul 6, 2023Updated 2 years ago
- Strategies for Pre-training Graph Neural Networks☆1,054Jul 29, 2023Updated 2 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,366Apr 14, 2023Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆356Jun 12, 2025Updated 9 months ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,279Mar 18, 2023Updated 3 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,505Apr 9, 2022Updated 3 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆473Aug 14, 2023Updated 2 years ago
- Grid-GCN for Fast and Scalable Point Cloud Learning☆185Mar 19, 2020Updated 6 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆507Aug 12, 2022Updated 3 years ago
- How Powerful are Graph Neural Networks?☆1,276Jul 1, 2021Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆79Mar 26, 2020Updated 5 years ago
- Attention over nodes in Graph Neural Networks using PyTorch [NeurIPS 2019]☆289Oct 25, 2020Updated 5 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,715Feb 2, 2024Updated 2 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆372Nov 10, 2023Updated 2 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,429Jun 7, 2024Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Jun 17, 2024Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆295Mar 29, 2023Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆274Apr 26, 2023Updated 2 years ago
- PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.☆1,451Dec 31, 2021Updated 4 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,818Feb 1, 2024Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆903Dec 20, 2023Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆680Aug 16, 2022Updated 3 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆664Nov 1, 2022Updated 3 years ago