AntonioLonga / Egocentric-Temporal-Motifs-Miner-ETMMLinks
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☆14Updated 2 years ago
- Code for the paper "Higher-order motif analysis in hypergraphs"☆32Updated 3 years ago
- Probabilistic generative model for mixed-membership community detection in hypergraphs, that also allows to infer missing hyperedges of a…☆29Updated 2 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated 2 years ago
- ☆60Updated 3 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆46Updated last year
- Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.☆43Updated 6 years ago
- DYnamic MOtif-NoDes (DYMOND) is a dynamic network generative model based on temporal motifs and node behavior.☆15Updated 2 years ago
- ☆12Updated 3 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆72Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆83Updated 2 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Representation and learning framework for dynamic graphs using Graph Neural Networks.☆12Updated 3 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- Synthetic graph generator☆12Updated last year
- "Explainable classification of brain networks via contrast subgraphs" - T. Lanciano, F. Bonchi, A. Gionis☆20Updated 3 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆36Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- ☆85Updated 3 years ago
- GPU-accelerated Next-Generation Network Analytics and Graph Learning for Time Series Data on Complex Networks.☆53Updated this week
- Explanation method for Graph Neural Networks (GNNs)☆71Updated 6 months ago
- Flow stability framework for dynamic community detection in temporal networks☆30Updated 3 months ago
- Software for "Configuration Models of Random Hypergraphs"☆29Updated 3 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated 2 years ago
- Implementation of a heterogeneous version of the GNN method MPNN with running code to try it out.☆17Updated last year
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆143Updated 8 months ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆17Updated last year
- ☆26Updated last year
- Accelerating Network Layouts Using Graph Neural Networks☆26Updated 2 years ago