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 last month
- Temporal Graph Benchmark project repo☆246Updated 4 months ago
- A Python library for knowledge graph representation learning (graph embedding).☆39Updated last year
- TGB baselines for dynamic link property prediction☆23Updated last year
- ☆86Updated 3 years ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆88Updated 8 months ago
- ☆217Updated 2 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆144Updated last year
- Dynamic Graph Benchmark☆88Updated 3 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Updated last year
- ☆49Updated 3 years ago
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆315Updated last year
- ☆144Updated 2 years ago
- A tool to help understand how GNN/BERT works by attention☆15Updated 5 years ago
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆72Updated 4 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆287Updated 2 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆313Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆99Updated 2 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Updated 3 years ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆73Updated 3 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆205Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆176Updated last week
- ☆65Updated last month
- Parameterized Explainer for Graph Neural Network☆142Updated last year
- A curated list of graph data augmentation papers.☆313Updated last year
- Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…☆42Updated 4 years ago
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆49Updated 2 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 3 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆104Updated 2 years ago
- Temporal Graph Analysis with TGX☆27Updated 9 months ago