GoudetOlivier

CGNN

Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"

CausalDiscoveryToolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

MPMA_code

TensCol

Source code for the article "Population-based Gradient Descent Weight Learning for Graph Coloring Problems". Applications to standard Graph Coloring Problem (GCP) and Equitable graph Coloring Problem (ECP).

DLMCOL_WVCP

analyse_distance_DLMCOL

causal-humans

causal-humans-1

gc_instances

instances for Graph Coloring and Weighted Vertex Coloring Problem with reduced versions of the graphs

gc_wvcp_adaptive_mcts

Graph Coloring - Weighted Vertex Coloring Problem - Monte Carlo Tree Search with automatic selection of Local Search operators during Simulation

HEAD

This project proposes an efficient memetic algorithm for the graph coloring problem. Authors : L. Moalic (laurent.moalic@uha.fr) and A. Gondran (alexandre.gondran@enac.fr). Details are presented in the paper "Variations on memetic algorithms for graph coloring problems" :

LPI_UBQP

MPMA

gc_wvcp_cp

Graph Coloring - Weighted Vertex Coloring Problem - Constraint Programming and New Bounds

SAM

Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)

Survival_estimation_MNAR

UncertaintyCensorship