FilippoMB / Simplifying-Clustering-with-Graph-Neural-NetworksLinks
Implementation of "Just Balance GNN" for graph classification and node clustering from the paper "Simplifying Clusterings with Graph Neural Networks".
☆38Updated 9 months ago
Alternatives and similar repositories for Simplifying-Clustering-with-Graph-Neural-Networks
Users that are interested in Simplifying-Clustering-with-Graph-Neural-Networks are comparing it to the libraries listed below
Sorting:
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆87Updated 2 years ago
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆112Updated 5 years ago
- A list for GNNs and related works.☆104Updated 2 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆169Updated last year
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 3 years ago
- ☆86Updated 3 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆90Updated last year
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆174Updated last year
- A collection of resources on attention-based graph neural networks☆86Updated 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
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆50Updated last year
- ☆57Updated 3 years ago
- This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".☆22Updated 4 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆163Updated 2 years ago
- ☆55Updated 3 years ago
- This is a Pytorch implementation of GraphLIME☆94Updated 4 years ago
- Parameterized Explainer for Graph Neural Network☆142Updated last year
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆50Updated 3 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆205Updated last year
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆89Updated 4 years ago
- Dynamic Graph Benchmark☆88Updated 3 years ago
- Temporal Graph Benchmark project repo☆246Updated 4 months ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated last week
- Code for our paper "Attending to Graph Transformers"☆91Updated 2 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆38Updated 2 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆45Updated 3 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆62Updated 5 years ago
- Exphormer: Sparse Transformer for Graphs☆186Updated last year
- An awesome collection of causality-inspired graph neural networks.☆102Updated last year