Networks-Learning / Coevolution

Related projects ⓘ

Alternatives and complementary repositories for Coevolution

• dicai / pygraphon
  Python library for working with graphons
  ☆21Updated 7 years ago
• uhlerlab / conditional_independence
  Parametric and non-parametric conditional independence testing.
  ☆10Updated 3 years ago
• arbenson / ScHoLP-Tutorial
  Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.
  ☆40Updated 5 years ago
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated 11 months ago
• chrisdxie / in-depth-VI-tutorial
  ☆11Updated 8 years ago
• nveldt / HypergraphHomophily
  ☆12Updated 2 years ago
• lkovanen / TMFinder
  Temporal Motif Finder
  ☆25Updated 7 years ago
• computationalmedia / sir-hawkes
  SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations
  ☆14Updated 6 years ago
• Aghasemian / CommunityFitNet
  This page is a companion for our paper on overfitting and underfitting of community detection methods on real networks, written by Amir G…
  ☆27Updated 8 months ago
• junipertcy / bipartiteSBM
  A Bayesian model+algorithm for community detection in bipartite networks
  ☆57Updated 4 years ago
• piratepeel / neoSBM
  A new type of SBM
  ☆17Updated 5 years ago
• biomedical-cybernetics / coalescent_embedding
  MATLAB code for performing the coalescent embedding
  ☆14Updated last year
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 3 years ago
• Networks-Learning / hdhp.py
  Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
  ☆36Updated 5 years ago
• meowoodie / Neural-Spectral-Marked-Point-Processes
  A novel general non-stationary point process model based on neural networks.
  ☆9Updated 2 years ago
• horacepan / MLGkernel
  Implementation of the Multiscale Laplacian Graph Kernel
  ☆18Updated 5 years ago
• 000Justin000 / gnn-residual-correlation
  ☆20Updated 3 years ago
• locuslab / sdp_clustering
  ☆12Updated 3 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆55Updated last year
• ArnoVel / structure-identification
  Uses several statistical tests / algorithms on marginal / conditional distributions
  ☆8Updated last year
• lordgrilo / Holes
  A Python module for detecting, analysing and visualising persistent homological features of complex networks
  ☆29Updated 3 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆35Updated 4 years ago
• Aghasemian / OptimalLinkPrediction
  This page is a companion for our paper on optimal link prediction, written by Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M…
  ☆63Updated 8 months ago
• jg-you / dyvider
  Dynamic programming algorithms for exact linear clustering in networks.
  ☆16Updated last year
• Networks-Learning / strategic-decisions
  Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
  ☆27Updated 8 months ago
• zecevic-matej / Not-All-Causal-Inference-is-the-Same
  Official code repository to the corresponding paper.
  ☆28Updated last year
• naesseth / nestedsmc
  Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.
  ☆14Updated 9 years ago
• Networks-Learning / disease-control
  Code and data for "Stochastic Optimal Control of Epidemic Processes in Networks", ML4H at NeurIPS 2018
  ☆12Updated last year
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• rsonthal / TreeRep
  Learning Tree structures and Tree metrics
  ☆23Updated 3 months ago