GuillaumeSalhaGalvan / modularity_aware_gae
Source code from the article "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" (Neural Networks, 2022)
☆15Updated last year
Related projects ⓘ
Alternatives and complementary repositories for modularity_aware_gae
- ☆17Updated 3 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆36Updated 7 months ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆39Updated 4 years ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆67Updated last year
- ☆12Updated 3 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆14Updated last year
- This is the official code-repository of the paper Semi-Supervised Deep Learning for Multiplex Networks published in KDD'21.☆9Updated 2 years ago
- A curated list of awesome Hypergraph Learning frameworks, libraries and software.☆20Updated last year
- Explanation method for Graph Neural Networks (GNNs)☆60Updated 2 years ago
- ☆27Updated last year
- ☆37Updated last year
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆16Updated last year
- ☆20Updated 3 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆53Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆48Updated last year
- ☆17Updated 11 months ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆126Updated 3 months ago
- Higher-order clustering and pooling for GNNs☆8Updated last year
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆47Updated last year
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆50Updated 3 weeks ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆31Updated 3 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆47Updated 9 months ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆75Updated last year
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆31Updated 2 years ago
- A library for subgraph GNN based on pyg☆39Updated 5 months ago
- ☆49Updated 2 years ago
- [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning☆33Updated 2 years ago
- ☆21Updated 5 months ago
- A list for GNNs and related works.☆81Updated 2 months ago
- MagNet graph convolutional network☆33Updated 10 months ago