How Powerful are Graph Neural Networks?
☆1,282Jul 1, 2021Updated 4 years ago
Alternatives and similar repositories for powerful-gnns
Users that are interested in powerful-gnns are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆849Dec 13, 2021Updated 4 years ago
- Strategies for Pre-training Graph Neural Networks☆1,058Jul 29, 2023Updated 2 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,653Jun 22, 2023Updated 2 years ago
- Must-read papers on graph neural networks (GNN)☆16,763Dec 20, 2023Updated 2 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,526Apr 9, 2022Updated 4 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Representation learning on large graphs using stochastic graph convolutions.☆3,689Aug 4, 2024Updated last year
- Implementation of Graph Convolutional Networks in TensorFlow☆7,378Apr 14, 2023Updated 3 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,279Mar 18, 2023Updated 3 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,085May 6, 2025Updated 11 months ago
- links to conference publications in graph-based deep learning☆5,057Feb 7, 2026Updated 2 months ago
- ☆508Jan 13, 2021Updated 5 years ago
- Graph Neural Network Library for PyTorch☆23,716Updated this week
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,271Jul 31, 2025Updated 9 months ago
- Graph Convolutional Networks in PyTorch☆5,398Sep 20, 2020Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆666Nov 1, 2022Updated 3 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Jun 17, 2024Updated last year
- Position-aware Graph Neural Networks☆403Oct 12, 2020Updated 5 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,121Jul 6, 2023Updated 2 years ago
- PyTorch implementation of DGCNN☆397Sep 13, 2023Updated 2 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆179May 14, 2018Updated 7 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Dec 27, 2023Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆495Dec 5, 2018Updated 7 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,722Feb 2, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Simple reference implementation of GraphSAGE.☆1,046May 11, 2020Updated 5 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,084Feb 15, 2023Updated 3 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆508Aug 12, 2022Updated 3 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆357Jun 12, 2025Updated 10 months ago
- Pytorch implementation of Graph U-Nets (ICML19)☆549Sep 17, 2020Updated 5 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Jul 6, 2023Updated 2 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆733Jan 20, 2022Updated 4 years ago
- gnn explainer☆1,042Aug 30, 2024Updated last year
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,803Mar 18, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆112Jun 10, 2021Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆476Dec 7, 2022Updated 3 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆680Aug 16, 2022Updated 3 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆629Jul 17, 2024Updated last year
- Implementation of Graph Auto-Encoders in TensorFlow☆1,738Jan 3, 2020Updated 6 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆530Mar 25, 2021Updated 5 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,189Jul 31, 2022Updated 3 years ago