Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"
☆38Oct 4, 2023Updated 2 years ago
Alternatives and similar repositories for Explaining-the-Explainers-in-Graph-Neural-Networks
Users that are interested in Explaining-the-Explainers-in-Graph-Neural-Networks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆60Apr 20, 2026Updated 4 months ago
- Egocentric Temporal Motifs Miner☆13Nov 9, 2021Updated 4 years ago
- Reasoning over weighted algebraic and logical constraints☆26Apr 30, 2026Updated 4 months ago
- ETNgen: A temporal graph generator based on Egocentric Temporal Motifs☆15Aug 11, 2023Updated 3 years ago
- Official repository of GLGExplainer (ICLR2023)☆21Jun 7, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆24Mar 4, 2024Updated 2 years ago
- DYnamic MOtif-NoDes (DYMOND) is a dynamic network generative model based on temporal motifs and node behavior.☆15Mar 16, 2023Updated 3 years ago
- ☆20Jul 30, 2024Updated 2 years ago
- Code for paper "Towards Training GNNs using Explanation Directed Message Passing"☆16Feb 28, 2023Updated 3 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆212May 22, 2024Updated 2 years ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆46Feb 22, 2025Updated last year
- PyPSDD porting to Python 3 + PyTorch equivalent tree construction.☆16Jun 7, 2023Updated 3 years ago
- ☆11Jul 6, 2023Updated 3 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆50Apr 8, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆95May 19, 2025Updated last year
- Source code for the Nature Machine Intelligence paper: When and how convolutional neural networks generalize to out-of-distribution categ…☆24Feb 26, 2022Updated 4 years ago
- ☆10Jan 28, 2024Updated 2 years ago
- ☆18Mar 24, 2020Updated 6 years ago
- Papers about explainability of GNNs☆816Jun 3, 2026Updated 2 months ago
- Code and datasets of AAAI'22 paper "TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs" . To be appear in AAAI-2022☆14Nov 17, 2023Updated 2 years ago
- ☆15Jul 21, 2026Updated last month
- Empirical Model Learning Library☆19Mar 25, 2023Updated 3 years ago
- ☆11Oct 11, 2023Updated 2 years ago
- 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.
- ☆19Apr 11, 2026Updated 4 months ago
- ☆26Jul 15, 2021Updated 5 years ago
- A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorf…☆13Jul 17, 2021Updated 5 years ago
- Repository containing the group project Wind Power Forecasting for DTU's 02456 Deep Learning.☆13Apr 7, 2022Updated 4 years ago
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆14Aug 15, 2021Updated 5 years ago
- Source code and additional results for GLOD issues☆12Jan 19, 2023Updated 3 years ago
- Variational Graph Convolutional Networks☆23Oct 16, 2020Updated 5 years ago
- Molecular Hypergraph Neural Network☆44Jul 4, 2025Updated last year
- The following code is a mixed integer linear programming (MILP) optimisation for an multi period economic load dispatch problem. It is im…☆15Feb 15, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A repository to learn basic data processing techniques (Wikipedia processing, feature selection), and use them for some basic Web query c…☆27Mar 1, 2022Updated 4 years ago
- A conda-smithy repository for ffmpeg.☆15Updated this week
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆90Oct 25, 2021Updated 4 years ago
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Nov 17, 2022Updated 3 years ago
- ☆10Jun 22, 2022Updated 4 years ago
- Unified Model Interpretability Library for Time Series☆72May 18, 2026Updated 3 months ago
- Official source code for Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models☆14Dec 5, 2024Updated last year