tlancian / contrast-subgraphLinks
"Explainable classification of brain networks via contrast subgraphs" - T. Lanciano, F. Bonchi, A. Gionis
☆20Updated 3 years ago
Alternatives and similar repositories for contrast-subgraph
Users that are interested in contrast-subgraph are comparing it to the libraries listed below
Sorting:
- https://arxiv.org/abs/2005.06935☆12Updated 2 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆42Updated 5 years ago
- This is a Pytorch implementation of GraphLIME☆93Updated 3 years ago
- GNN with summarization/grouping layer for speed and interpretability☆15Updated 4 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆84Updated last year
- DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification☆28Updated 4 years ago
- Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"☆32Updated 11 months ago
- Probabilistic generative model for mixed-membership community detection in hypergraphs, that also allows to infer missing hyperedges of a…☆28Updated last year
- ☆27Updated 8 months ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆63Updated 4 years ago
- This page is a companion for our paper on optimal link prediction, written by Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M…☆66Updated last year
- Code for generative hypergraph clustering via modularity-like objective functions.☆24Updated 3 years ago
- Source code for EvalNE, a Python library for evaluating Network Embedding methods.☆106Updated last year
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- ☆114Updated 4 years ago
- tNodeEmbed☆79Updated 2 years ago
- A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)☆26Updated 3 years ago
- [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks☆31Updated 3 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆72Updated 2 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆206Updated 5 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated last month
- Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)☆100Updated 5 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- ☆144Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Updated 2 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year