Alternatives and similar repositories for Causal-Inference-on-Networked-Data:

Users that are interested in Causal-Inference-on-Networked-Data are comparing it to the libraries listed below

• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆74Updated 3 years ago
• nuster1128 / Awesome-Causal-Papers
  We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)
  ☆81Updated last year
• anpwu / Causal4Application
  ☆23Updated 3 years ago
• paras2612 / CauseBox
  Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…
  ☆21Updated 3 years ago
• wan19990901 / Causal-LLM-Paper
  Papers collections that is related to knowledge graph, causal inference, and large language model
  ☆44Updated 7 months ago
• zealscott / Causality4Rec_Paperlist
  This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.
  ☆16Updated 2 years ago
• hlzhang109 / TransTEE
  ☆32Updated 2 years ago
• TimeLovercc / Awesome-Graph-Causal-Learning
  A list of Graph Causal Learning materials.
  ☆191Updated last month
• huiyang-yi / Awesome-Causality-and-ML-Papers
  关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结
  ☆29Updated 3 months ago
• DMIRLAB-Group / CANM
  This code provide the CANM algorithim for causal discovery. Please cite "Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao. Cau…
  ☆16Updated 5 years ago
• Osier-Yi / SITE
  ☆58Updated 2 years ago
• usail-hkust / Awesome-Causality-Inspired-GNNs
  An awesome collection of causality-inspired graph neural networks.
  ☆66Updated 3 months ago
• jma712 / HyperSCI
  ☆43Updated last year
• rik-helwegen / CEVAE_pytorch
  ☆43Updated 6 years ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆80Updated last year
• anzhang314 / ReScore
  Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)
  ☆16Updated 2 years ago
• Renovamen / pcalg-py
  Implement PC algorithm in Python | PC 算法的 Python 实现
  ☆117Updated last year
• liuqidong07 / PC-Algorithm
  My implement of PC-Algorithm which is used to estimate causal graph from observation data.
  ☆23Updated 4 years ago
• causal-machine-learning-lab / mliv
  ☆27Updated 2 years ago
• fishmoon1234 / DAG-NoCurl
  ☆24Updated 3 years ago
• anpwu / DeR-CFR
  ☆19Updated 3 years ago
• kalinlau / awesome-causal-learning
  Causality with machine learning, topic including causal represenation learning, causal reinforcement learning
  ☆11Updated 3 years ago
• CausalAILab / NeuralCausalModels
  Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.
  ☆24Updated 2 years ago
• Ethan00Si / Instrumental-variables-for-recommendation
  The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"
  ☆30Updated 2 years ago
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆215Updated last month
• WeijiaZhang24 / TEDVAE
  Code for TEDVAE, a VAE-based treatment effect estimation algorithm.
  ☆22Updated 2 years ago
• RyanWangZf / CVIB-Rec
  Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
  ☆28Updated 4 years ago
• HeYueThu / CausPref
  Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)
  ☆18Updated 3 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆58Updated 4 years ago
• octeufer / Adversarial-Balancing-based-representation-learning-for-Causal-Effect-Inference
  Causal Inference
  ☆10Updated 4 years ago