SalvishGoomanee

GSNN

Graph Structured Neural Networks

TopoModelX

Topological Deep Learning

TopoNetX

Computing on Topological Domains

CCSD

Combinatorial Complex Score-based Diffusion model using stochastic differential equations

GraphRewiring-Tutorial

This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications in Fairness"

DiffWire

DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-Rodriguez, Ahmed Begga, Francisco Escolano and Nuria Oliver.

apptainer

Apptainer: Application containers for Linux

GSP_GRAPHADON

TP de GSP pour l'école d'été GRAPHADON

graphadon

PlanE

Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs"

non-dissipative-propagation-CTDGs

Official reference implementation of our paper "Long Range Propagation on Continuous-Time Dynamic Graphs" accepted at ICML24 and "Effective Non-Dissipative Propagation for Continuous-Time Dynamic Graphs" accepted at Temporal Graph Learning Workshop @ NeurIPS 2023

cwn

Message Passing Neural Networks for Simplicial and Cell Complexes

challenge-icml-2024

Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2024.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

EpidemyForecast

singslurm2

Snakemake + Singularity + SLURM

GNN-Tumor-Seg

Using Graph Neural Networks to Segment MRIs of Brain Tumors

scGNN

scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks

reticula

revisiting-gnn-curvature

Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper

DLO-JZ

formation Deep Learning Optimisé pour Jean Zay

graphnn

Training computational graph on top of structured data (string, graph, etc)

GegenGNN

Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction

shields

Concise, consistent, and legible badges in SVG and raster format

PyMeshLab

The open source mesh processing python library

subgraph-sketching

code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486

gwl

Gromov-Wasserstein Learning for Graph Matching and Node Embedding

3d-force-graph

3D force-directed graph component using ThreeJS/WebGL

ipyforcegraph

Jupyter Widgets for force-directed graphs

graphtrans

Representing Long-Range Context for Graph Neural Networks with Global Attention