Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR 2019)
☆34Oct 29, 2025Updated 4 months ago
Alternatives and similar repositories for explain_graphs
Users that are interested in explain_graphs are comparing it to the libraries listed below
Sorting:
- Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories☆84Oct 19, 2021Updated 4 years ago
- Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "…☆127Nov 12, 2019Updated 6 years ago
- Parameterized Explainer for Graph Neural Network☆142Feb 23, 2024Updated 2 years ago
- ☆16Jun 3, 2022Updated 3 years ago
- [BMVC 2022] Information Theoretic Representation Distillation☆19Oct 6, 2023Updated 2 years ago
- Source code for CIKM-CSSA 2020 paper SNAG "Simplified Neural Architecture search for Graph Neural Networks".☆14Mar 7, 2021Updated 4 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Jul 25, 2022Updated 3 years ago
- Generating PGM Explanation for GNN predictions☆75Jul 6, 2023Updated 2 years ago
- gnn explainer☆1,029Aug 30, 2024Updated last year
- Open Source Mycetoma's First Series of Molecules☆10Sep 22, 2025Updated 5 months ago
- Variational Graph Convolutional Networks☆23Oct 16, 2020Updated 5 years ago
- Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR'22, Oral)☆26Apr 3, 2024Updated last year
- [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization☆48Jun 22, 2022Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆156Oct 11, 2022Updated 3 years ago
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆26Jan 26, 2022Updated 4 years ago
- structure-based explanation methods☆29Apr 27, 2024Updated last year
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30May 20, 2020Updated 5 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆205May 22, 2024Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Dec 7, 2022Updated 3 years ago
- Replication of Pix2Seq with Pretrained Model☆59Nov 6, 2021Updated 4 years ago
- ☆27Mar 5, 2024Updated last year
- (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks☆131Jul 15, 2023Updated 2 years ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Aug 11, 2021Updated 4 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Apr 23, 2022Updated 3 years ago
- MLTI for ICLR 2022☆30May 6, 2022Updated 3 years ago
- Metal Activity Heuristic of Metalloprotein and Enzymatic Sites (MAHOMES) - Predicts if a protein bound metal ion is enzymatic or non-enzy…☆11Apr 19, 2022Updated 3 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Oct 21, 2020Updated 5 years ago
- A clean densenet in tensorflow☆37Sep 6, 2017Updated 8 years ago
- 深度学习☆10Jun 9, 2017Updated 8 years ago
- Workshops on Computational Biology organized by our lab☆10Mar 25, 2024Updated last year
- ☆11Jun 15, 2019Updated 6 years ago
- ☆10Sep 9, 2023Updated 2 years ago
- Official Implementation for CVPR 2025 paper Instant Adversarial Purification with Adversarial Consistency Distillation.☆15Dec 19, 2025Updated 2 months ago
- ProxyExplainer for Graph Neural Networks☆15Oct 24, 2024Updated last year
- 使用VC检测车道线（曲线）☆10Apr 23, 2018Updated 7 years ago
- Computing with Eigenvalue Distributions of Large Random Matrices of the Covariance Type☆15Feb 16, 2018Updated 8 years ago
- ☆11Nov 8, 2023Updated 2 years ago
- Code release for Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering (CVPR2020-Oral).☆82Apr 20, 2022Updated 3 years ago
- This is a Pytorch implementation of GraphLIME☆95Jan 6, 2022Updated 4 years ago