Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
☆375Apr 5, 2022Updated 4 years ago
Alternatives and similar repositories for how_attentive_are_gats
Users that are interested in how_attentive_are_gats are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Apr 7, 2023Updated 3 years ago
- PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https:…☆395Jan 16, 2024Updated 2 years ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆1,028Jul 27, 2021Updated 4 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,124Jul 6, 2023Updated 3 years ago
- The implementation for the NeurIPS 2022 paper Parameter-free Dynamic Graph Embedding for Link Prediction.☆16Dec 7, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Recipe for a General, Powerful, Scalable Graph Transformer☆872Jul 4, 2024Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,286Jul 1, 2021Updated 5 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆266Feb 10, 2022Updated 4 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆680Aug 16, 2022Updated 3 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Jun 10, 2021Updated 5 years ago
- ☆155Aug 23, 2021Updated 4 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆166Aug 30, 2022Updated 3 years ago
- Strategies for Pre-training Graph Neural Networks☆1,068Jul 29, 2023Updated 2 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,539Apr 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.
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆510Aug 12, 2022Updated 3 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,083Feb 15, 2023Updated 3 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,463Jun 12, 2026Updated last month
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆35Mar 14, 2022Updated 4 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,282Jul 31, 2025Updated 11 months ago
- ☆14May 23, 2025Updated last year
- Visualization tool for Graph Neural Networks☆263Sep 20, 2022Updated 3 years ago
- Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT☆158Jan 17, 2022Updated 4 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆401Jun 17, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"☆19Apr 24, 2023Updated 3 years ago
- Graph Neural Network Library for PyTorch☆23,911Updated this week
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆110Jun 18, 2025Updated last year
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Jul 6, 2023Updated 3 years ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆41Apr 1, 2022Updated 4 years ago
- ☆77Jul 4, 2021Updated 5 years ago
- Hierarchical Graph Pooling with Structure Learning☆345Jul 12, 2021Updated 5 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆34Dec 21, 2021Updated 4 years ago
- ☆11Jun 21, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,728Feb 2, 2024Updated 2 years ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆43Aug 25, 2023Updated 2 years ago
- Gradient gating (ICLR 2023)☆55May 11, 2023Updated 3 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆309May 12, 2023Updated 3 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆372Nov 10, 2023Updated 2 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆312Mar 4, 2024Updated 2 years ago
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Dec 9, 2021Updated 4 years ago