AikyamLab / ExpassLinks
Code for paper "Towards Training GNNs using Explanation Directed Message Passing"
☆16Updated 2 years ago
Alternatives and similar repositories for Expass
Users that are interested in Expass are comparing it to the libraries listed below
Sorting:
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- ☆54Updated 2 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆44Updated last year
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆189Updated last year
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆62Updated 3 years ago
- here you can find the material used for our Tutorials☆100Updated 3 years ago
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆79Updated 4 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated last year
- Explanation method for Graph Neural Networks (GNNs)☆68Updated last month
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)