vunhatminh / PGMExplainer
Generating PGM Explanation for GNN predictions
☆74Updated last year
Alternatives and similar repositories for PGMExplainer:
Users that are interested in PGMExplainer are comparing it to the libraries listed below
- Explanation method for Graph Neural Networks (GNNs)☆62Updated 2 years ago
- Parameterized Explainer for Graph Neural Network☆128Updated 11 months ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆43Updated 9 months ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆65Updated 2 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆163Updated 11 months ago
- ☆56Updated 2 years ago
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆50Updated 2 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 3 years ago
- ☆55Updated 2 years ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆81Updated last year
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆57Updated 4 years ago
- ☆27Updated 2 weeks ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆88Updated 3 years ago
- This is a Pytorch implementation of GraphLIME☆88Updated 3 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆87Updated 3 years ago
- Official code of "Towards Multi-Grained Explainability for Graph Neural Networks" (NeurIPS 2021) + Pytorch Implementation of recent attri…☆68Updated last year
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 4 months ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆189Updated 9 months ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆54Updated 3 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆78Updated 3 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆226Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 7 months ago
- ☆77Updated 2 years ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆78Updated 3 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆101Updated 2 years ago
- An VGAE implementation using pytorch geometric.☆44Updated 4 years ago
- ☆19Updated 2 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆82Updated 3 months ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 3 years ago