AikyamLab / Expass
Code for paper "Towards Training GNNs using Explanation Directed Message Passing"
☆15Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Expass
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆37Updated 7 months ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- Explanation method for Graph Neural Networks (GNNs)☆60Updated 2 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆14Updated last year
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆72Updated last year
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆29Updated last year
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆30Updated 3 years ago
- ☆49Updated 2 years ago
- Correlated Graph Neural Networks☆25Updated 4 years ago
- Topological Graph Neural Networks (ICLR 2022)☆117Updated 2 years ago
- Codebase for Evaluating Attribution for Graph Neural Networks.☆74Updated 3 years ago
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆26Updated 2 years ago
- Gradient gating (ICLR 2023)☆52Updated last year
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆85Updated last year
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆53Updated last year
- GraphCON (ICML 2022)☆57Updated 2 years ago
- Implementation of a heterogeneous version of the GNN method MPNN with running code to try it out.☆13Updated 7 months ago
- ☆56Updated 2 years ago
- Codes for graphlet counting☆12Updated 6 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆173Updated 6 months ago
- here you can find the material used for our Tutorials☆97Updated 2 years ago
- ☆26Updated 3 years ago
- Tensorflow and Pytorch implementation of "Just Balance GNN" for graph clustering.☆32Updated last year
- Generating PGM Explanation for GNN predictions☆73Updated last year
- Wasserstein Weisfeiler-Lehman Graph Kernels☆78Updated 2 months ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆40Updated 2 years ago
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆17Updated last year
- Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"☆13Updated last year
- Code for our paper "Attending to Graph Transformers"☆80Updated last year
- ☆17Updated 3 years ago