GraphFramEx / graphframexLinks
GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
☆46Updated last year
Alternatives and similar repositories for graphframex
Users that are interested in graphframex are comparing it to the libraries listed below
Sorting:
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆193Updated last year
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆168Updated last year
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated last year
- Code for our paper "Attending to Graph Transformers"☆90Updated last year
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- ☆55Updated 3 years ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆81Updated last year
- Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods☆69Updated 6 months ago
- Explanation method for Graph Neural Networks (GNNs)☆71Updated 3 months ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆68Updated 3 years ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Updated 4 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆81Updated 3 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
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆89Updated last year
- List of papers on NeurIPS2023☆89Updated last year
- ☆61Updated 3 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆88Updated 9 months ago
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆18Updated 2 years ago
- Parameterized Explainer for Graph Neural Network☆138Updated last year
- Collection of papers relating data-driven higher-order graph/networks researches.☆71Updated 2 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆97Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- Dynamic Graph Benchmark☆82Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆201Updated 6 months ago
- ☆47Updated last year
- ☆83Updated 3 years ago
- This is a Pytorch implementation of GraphLIME☆93Updated 3 years ago