MarioTheOne / GRETELLinks
Graph Counterfactual Explanation Evaluation Framework
☆21Updated 2 years ago
Alternatives and similar repositories for GRETEL
Users that are interested in GRETEL are comparing it to the libraries listed below
Sorting:
- GRETEL is a framework for the development and evaluation of Counterfactual Explanation methods for Graph Classifiers☆22Updated 3 weeks ago
- Temporal Graph Benchmark project repo☆244Updated 3 months ago
- Accompanied repositories for our paper Graph foundation model☆232Updated last year
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆144Updated 11 months ago
- ☆86Updated 3 years ago
- A curated list of graph data augmentation papers.☆313Updated last year
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆103Updated 2 years ago
- The Full-Stack Web Framework for Pythonistas☆12Updated last month
- A collection of research papers related to graph structure learning(GSL).☆16Updated 3 years ago
- An index of algorithms for few-shot learning/meta-learning on graphs☆157Updated 9 months ago
- Dynamic Graph Benchmark☆88Updated 3 years ago
- A list of recent papers about Link Prediction.☆122Updated last week
- A curated list of papers on graph structure learning (GSL).☆53Updated last year
- TGB baselines for dynamic link property prediction☆23Updated last year
- Subgraph Based Learning of Contextual Embedding☆29Updated 4 years ago
- Influence-Based Mini-Batching (IBMB), as proposed in "Influence-Based Mini-Batching for Graph Neural Networks" (LoG 2022)☆19Updated 3 years ago
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆49Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆303Updated 2 years ago
- GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks☆116Updated last year
- Code for our paper "Attending to Graph Transformers"☆91Updated 2 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆53Updated last year
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆95Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Updated last year
- ☆186Updated last year
- How Powerful are Spectral Graph Neural Networks☆75Updated 2 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆71Updated 3 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆205Updated last year
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆123Updated 3 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆196Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆99Updated 2 years ago