Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"
☆51Oct 25, 2022Updated 3 years ago
Alternatives and similar repositories for ProtGNN
Users that are interested in ProtGNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"☆13Nov 19, 2021Updated 4 years ago
- Adversarial learning by utilizing model interpretation☆10Oct 19, 2018Updated 7 years ago
- A PyTorch implementation of "Towards Self-Explainable Graph Neural Network" (CIKM 2021).☆13Nov 4, 2021Updated 4 years ago
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆44Sep 18, 2021Updated 5 years ago
- ☆11Nov 8, 2023Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆17Jun 4, 2021Updated 5 years ago
- Papers about explainability of GNNs☆818Jun 3, 2026Updated 3 months ago
- Pytorch implementation of XGNN☆10Jan 20, 2021Updated 5 years ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆129Aug 18, 2023Updated 3 years ago
- Code for "Interpretable image classification with differentiable prototypes assignment", ECCV 2022☆30Nov 23, 2022Updated 3 years ago
- Official implementation of From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning?☆15Jun 19, 2026Updated 3 months ago
- ☆18Mar 9, 2023Updated 3 years ago
- Jailbreak Evo☆24Jun 2, 2025Updated last year
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆48Mar 27, 2025Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆19Sep 30, 2022Updated 3 years ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆81Jun 9, 2021Updated 5 years ago
- [ICCV 2023] Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks☆19Oct 12, 2023Updated 2 years ago
- [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer☆19Apr 19, 2023Updated 3 years ago
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆37Apr 2, 2022Updated 4 years ago
- A pytorch implementation of graph transformer for node classification☆35May 3, 2023Updated 3 years ago
- ☆32Jan 24, 2022Updated 4 years ago
- Parameterized Explainer for Graph Neural Network☆146Feb 23, 2024Updated 2 years ago
- Chemical Science 2023: An equivariant generative framework for molecular graph-structure Co-design☆10Jun 18, 2023Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Ratioanle-aware Graph Contrastive Learning codebase☆43Jun 15, 2023Updated 3 years ago
- ☆12Jul 12, 2022Updated 4 years ago
- A latex source for blink.cmp☆22Apr 9, 2026Updated 5 months ago
- ☆19Jun 14, 2025Updated last year
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆25Aug 21, 2022Updated 4 years ago
- ☆29Jun 18, 2024Updated 2 years ago
- Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"☆19Apr 24, 2023Updated 3 years ago
- Papers about Structure-based Drug Design (SBDD)☆153Sep 1, 2025Updated last year
- Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods☆69Feb 16, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"☆86Nov 16, 2022Updated 3 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆212May 22, 2024Updated 2 years ago
- A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences…☆29Jun 18, 2025Updated last year
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆50Apr 8, 2024Updated 2 years ago
- Implementation of ICML23 paper "Learning Subpocket Prototypes for Generalizable Structure-based Drug Design"☆31Feb 20, 2024Updated 2 years ago
- Data Valuation without Training of a Model, submitted to ICLR'23☆22Dec 30, 2022Updated 3 years ago
- ☆33Dec 22, 2025Updated 9 months ago