songjiang0909 / Causal-Inference-on-Networked-Data
Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"
☆15Updated last year
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
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆74Updated 3 years ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆76Updated last year
- 4th Year project aiming to implement PC, FCI and RFCI algorithms in python☆14Updated 5 years ago
- ☆23Updated 3 years ago
- ☆40Updated 6 years ago
- 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
- ☆58Updated 2 years ago
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆20Updated 3 years ago
- ☆31Updated 2 years ago
- ☆43Updated last year
- ☆28Updated 4 months ago
- Papers collections that is related to knowledge graph, causal inference, and large language model☆37Updated 6 months ago
- Causal discovery algorithms and tools for implementing new ones☆209Updated 3 weeks ago
- Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.☆24Updated 2 years ago
- 关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结☆28Updated 2 months ago
- This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.☆16Updated 2 years ago
- A list of Graph Causal Learning materials.☆188Updated 3 weeks ago
- ☆28Updated last month
- Example causal datasets with consistent formatting and ground truth☆77Updated last year
- Implement PC algorithm in Python | PC 算法的 Python 实现☆117Updated last year
- ☆27Updated 2 years ago
- My implement of PC-Algorithm which is used to estimate causal graph from observation data.☆23Updated 4 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆58Updated 10 months ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 2 years ago
- ☆92Updated last year
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆125Updated last year
- Causal Inference☆10Updated 4 years ago
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Updated 4 years ago
- Causal discovery for time series☆92Updated 2 years ago
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Updated 3 years ago