[ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?
☆16Jun 27, 2024Updated 2 years ago
Alternatives and similar repositories for GMT
Users that are interested in GMT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [Preprint] Graph State Space Convolution (GSSC)☆14Jun 11, 2024Updated 2 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆25Jul 18, 2023Updated 3 years ago
- [CVPR 2024] Improving out-of-distribution generalization in graphs via hierarchical semantic environments☆13Apr 17, 2025Updated last year
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- ☆32Oct 13, 2021Updated 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.
- ☆58Sep 28, 2022Updated 4 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆173Feb 19, 2024Updated 2 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆123Aug 28, 2023Updated 3 years ago
- The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'☆16Oct 9, 2022Updated 4 years ago
- ☆29Jul 12, 2022Updated 4 years ago
- Repository for the paper "Interpreting Temporal Graph Neural Networks with Koopman Theory"☆12Apr 7, 2026Updated 6 months ago
- ☆13Apr 2, 2025Updated last year
- Code for Mind the Label Shift of Augmentation-based Graph OOD generalization (LiSA) in CVPR 2023. LiSA is a model-agnostic Graph OOD fram…☆16Jun 24, 2023Updated 3 years ago
- Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products (ICML 2024)☆11Jul 13, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Subgraph-conditioned Graph Information Bottleneck (S-CGIB) is a novel architecture for pre-training Graph Neural Networks in molecular pr…☆15Nov 26, 2025Updated 11 months ago
- CIKM 2021: Pooling Architecture Search for Graph Classification☆21Jul 19, 2022Updated 4 years ago
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆23Aug 25, 2024Updated 2 years ago
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆20Apr 10, 2025Updated last year
- The official Implementation for TKDE paper "Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalizatio…☆14Aug 6, 2023Updated 3 years ago
- [ICML 2024] Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical☆13May 12, 2024Updated 2 years ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆23Jun 20, 2023Updated 3 years ago
- a robust metric (robust fidelity) for XGNN (ICLR24)☆12Jun 3, 2025Updated last year
- ☆14Apr 10, 2025Updated last year
- 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.
- NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle☆20Dec 23, 2022Updated 3 years ago
- ☆14Sep 11, 2026Updated last month
- The official implementation of AAAI'24 paper: Self-Interpretable Graph Learning with Sufficient and Necessary Explanations.☆16Jan 29, 2024Updated 2 years ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆47Nov 13, 2023Updated 2 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆53Aug 16, 2024Updated 2 years ago
- [ICML 2024 Oral] LSH-Based Efficient Point Transformer (HEPT)☆27Jan 24, 2025Updated last year
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆23Nov 4, 2024Updated last year
- This is the official implementation for paper "How Graph Neural Networks Learn: Lessons from Training Dynamics".☆10May 28, 2024Updated 2 years ago
- ☆15Mar 4, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.☆21Oct 16, 2023Updated 3 years ago
- A Y86-64 processor implemented using Verilog☆17Aug 21, 2021Updated 5 years ago
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆14Jul 12, 2024Updated 2 years ago
- This repository provides code for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).☆22Apr 18, 2024Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Apr 12, 2024Updated 2 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29May 27, 2025Updated last year
- Accelerating core decomposition in billion-scale hypergraphs☆11Mar 3, 2025Updated last year