Alternatives and similar repositories for NIS_for_Causal_Emergence:

Users that are interested in NIS_for_Causal_Emergence are comparing it to the libraries listed below

• bnusss / GGN
  Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction
  ☆70Updated 5 years ago
• xpuoxford / L2G-neurips2021
  ☆25Updated 3 years ago
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆51Updated 4 years ago
• kby24 / AIDD
  Automated Discovery of Interactions and Dynamics for Large Networked Dynamical Systems
  ☆16Updated 3 years ago
• abiodun-ayodeji / Structure-Learning-from-Time-series-Data-with-CausalNex
  Time series data structure learning with NOTEARS and DYNOTEARS
  ☆11Updated 8 months ago
• distributed-information-bottleneck / distributed-information-bottleneck.github.io
  A repository for using the distributed information bottleneck to locate information in data
  ☆15Updated 5 months ago
• sakhanna / SRU_for_GCI
  Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality
  ☆31Updated 4 years ago
• EternityZY / STNSCM
  This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
  ☆35Updated 2 years ago
• majianthu / transferentropy
  Code for the paper "Estimating Transfer Entropy via Copula Entropy"
  ☆40Updated last year
• tsinghua-fib-lab / ResInf
  This repo contains the codes and data for our Nature Communications paper: Deep learning resilience inference for complex networked syste…
  ☆43Updated 3 months ago
• tamps2gcnets / TAMP_S2GCNets
  ☆19Updated 2 years ago
• zhangzx-sjtu / LANTERN-NeurIPS-2019
  Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""
  ☆10Updated 3 years ago
• Z-GCNETs / Z-GCNETs
  ☆39Updated 3 years ago
• yangjm67 / TransPAI
  Transportation data online prediction
  ☆48Updated 3 years ago
• lmz123321 / proxy_causal_discovery
  Official implementation for NeurIPS23 paper: Causal Discovery from Subsampled Time Series with Proxy Variable
  ☆24Updated 8 months ago
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆78Updated 2 years ago
• petecheng / Time2GraphPlus
  Source codes for Time2Graph+ model.
  ☆33Updated 3 years ago
• panzheyi / AutoSTG
  ☆26Updated 4 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆104Updated 3 years ago
• felixykliu / NAOMI
  ☆51Updated 5 years ago
• Hongrui24 / RMTPP-pytorch
  ☆15Updated 4 years ago
• nnzhan / TraverseNet
  ☆17Updated 2 years ago
• xiao03 / nh
  A PyTorch Implementation of Neural Hawkes Process. Redefined.
  ☆32Updated 4 years ago
• xiangyu-sun-789 / NTS-NOTEARS
  Code for paper: NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge
  ☆23Updated 2 years ago
• chocolates / Predicting-Path-Failure-In-Time-Evolving-Graphs
  The source code of kdd2019 project
  ☆24Updated 4 years ago
• CsnowyLstar / HoGRC
  Higher-order Granger reservoir computing
  ☆20Updated last month
• ekwebb / fNRI
  Factoried Neural Relational Inference for Multi-Interacting Systems
  ☆30Updated 5 years ago
• alipay / RGSL
  ☆43Updated 2 years ago
• jkbren / einet
  Uncertainty and causal emergence in complex networks
  ☆110Updated 3 years ago
• dongkuanx27 / STAR
  Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)
  ☆20Updated 3 years ago