AntonioLonga / Egocentric-Temporal-Motifs-Miner-ETMM
Egocentric Temporal Motifs Miner
☆12Updated 3 years ago
Alternatives and similar repositories for Egocentric-Temporal-Motifs-Miner-ETMM
Users that are interested in Egocentric-Temporal-Motifs-Miner-ETMM are comparing it to the libraries listed below
Sorting:
- ETNgen: A temporal graph generator based on Egocentric Temporal Motifs☆13Updated last year
- Code for the paper "Higher-order motif analysis in hypergraphs"☆30Updated 3 years ago
- Probabilistic generative model for mixed-membership community detection in hypergraphs, that also allows to infer missing hyperedges of a…☆26Updated last year
- Repository of the paper "Machine learning dismantling and early-warning signals of disintegration in complex systems" by M. Grassia, M. D…☆40Updated 3 years ago
- Draws a 2D simplicial complex from a list of simplices.☆15Updated 5 years ago
- Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.☆42Updated 6 years ago
- ☆20Updated 4 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated last year
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆140Updated 3 months ago
- Code for generative hypergraph clustering via modularity-like objective functions.☆23Updated 2 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- DYnamic MOtif-NoDes (DYMOND) is a dynamic network generative model based on temporal motifs and node behavior.☆14Updated 2 years ago
- Software for "Configuration Models of Random Hypergraphs"☆28Updated 2 years ago
- A Data-Driven Graph Generative Model for Temporal Interaction Networks☆34Updated 2 years ago
- ☆59Updated 9 months ago
- Dynamic Graph Benchmark☆79Updated 2 years ago
- Inference of high-quality embeddings of complex networks into the hyperbolic disk.☆49Updated 6 months ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆16Updated 10 months ago
- "Explainable classification of brain networks via contrast subgraphs" - T. Lanciano, F. Bonchi, A. Gionis☆20Updated 3 years ago
- This repository contains the data and the code associated to the paper "Hyper-cores promote localization and efficient seeding in higher-…☆12Updated last year
- Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"☆31Updated 6 months ago
- Repository for the AAAI 2022 paper: Directed Graph Auto-Encoders☆19Updated 3 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆44Updated last year
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 8 months ago
- Embedding graphs in symmetric spaces☆30Updated 3 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- Dynamic programming algorithms for exact linear clustering in networks.☆16Updated last year
- ☆18Updated 3 years ago
- Code accompanying the AAAI 2022 paper "fGOT: Graph Distances based on Filters and Optimal Transport"☆15Updated 2 years ago