[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
☆174Feb 19, 2024Updated 2 years ago
Alternatives and similar repositories for GSAT
Users that are interested in GSAT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆121Aug 28, 2023Updated 2 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆25Jul 18, 2023Updated 2 years ago
- ☆58Sep 28, 2022Updated 3 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆208Feb 21, 2025Updated last year
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆138Nov 29, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Parameterized Explainer for Graph Neural Network☆145Feb 23, 2024Updated 2 years ago
- Papers about explainability of GNNs☆797Mar 5, 2026Updated last month
- ☆16Sep 10, 2023Updated 2 years ago
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆16Jun 27, 2024Updated last year
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆20Apr 10, 2025Updated last year
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆93Dec 2, 2021Updated 4 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆46Mar 2, 2023Updated 3 years ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆22Jun 20, 2023Updated 2 years ago
- Papers about out-of-distribution generalization on graphs.☆168Jun 5, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks☆132Jul 15, 2023Updated 2 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆96Nov 16, 2023Updated 2 years ago
- Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts☆16Dec 28, 2024Updated last year
- [Preprint] Graph State Space Convolution (GSSC)☆14Jun 11, 2024Updated last year
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Jan 19, 2022Updated 4 years ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆14Jun 15, 2024Updated last year
- Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods☆69Feb 16, 2025Updated last year
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆84Jul 27, 2023Updated 2 years ago
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- graph neural networks, information theory, AI for Sciences☆23Apr 6, 2022Updated 4 years ago
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆38May 6, 2022Updated 3 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆49Jun 3, 2022Updated 3 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆70Nov 29, 2023Updated 2 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆34Dec 21, 2021Updated 4 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Apr 12, 2024Updated last year
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆207May 22, 2024Updated last year
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Nov 27, 2023Updated 2 years ago
- Pytorch implementation of WWW'23:"Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs"☆16Jul 2, 2023Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A list of Graph Causal Learning materials.☆211Jan 24, 2025Updated last year
- The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.☆11Feb 10, 2023Updated 3 years ago
- ☆12Jul 17, 2023Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆50Apr 8, 2024Updated 2 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Oct 3, 2022Updated 3 years ago
- [CIKM 2023] Code for the paper "LTE4G: Long-Tail Experts for Graph Neural Networks"☆40Sep 8, 2022Updated 3 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆67Jan 31, 2026Updated 2 months ago