anomic1911 / GNNExplainer-Experiments
This repository contains the experiments performed on the GNNExplainer Code
☆15Updated 3 years ago
Alternatives and similar repositories for GNNExplainer-Experiments:
Users that are interested in GNNExplainer-Experiments are comparing it to the libraries listed below
- Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories☆81Updated 3 years ago
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆42Updated 3 years ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆78Updated 3 years ago
- [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning☆33Updated 2 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆121Updated 7 months ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆44Updated 3 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆110Updated 5 months ago
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆30Updated 2 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year
- Graph Representation Learning via Graphical Mutual Information Maximization☆113Updated 4 years ago
- ☆18Updated last year
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆102Updated 3 years ago
- Parameterized Explainer for Graph Neural Network☆130Updated last year
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆78Updated 3 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆148Updated last year
- GNNExplainer implementation using DGL☆31Updated 3 years ago
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)☆32Updated 5 years ago
- Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "…☆122Updated 5 years ago
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆28Updated 2 years ago
- code for "Self-supervised edge features for improved Graph Neural Network training", <arxivlink>☆23Updated 4 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 6 months ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆54Updated 3 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆88Updated 3 years ago
- ☆26Updated 3 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆79Updated 2 years ago
- HDGI code☆61Updated 4 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆65Updated 2 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆47Updated last year
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆155Updated last year
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated last year