songjiang0909 / Causal-Inference-on-Networked-Data
Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"
☆16Updated 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.☆75Updated 3 years ago
- ☆23Updated 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)☆83Updated 2 years ago
- ☆9Updated 10 months ago
- ☆44Updated last year
- ☆44Updated 6 years ago
- ☆92Updated 2 years ago
- Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.☆24Updated 2 years ago
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆21Updated 3 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 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 3 years ago
- Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)☆16Updated 2 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 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☆30Updated 5 months ago
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆33Updated 3 years ago
- A list of Graph Causal Learning materials.☆195Updated 3 months ago
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆50Updated 6 years ago
- Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)☆12Updated 3 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆60Updated 2 years ago
- ☆33Updated 2 years ago
- An awesome collection of causality-inspired graph neural networks.☆75Updated 5 months ago
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆35Updated 2 years ago
- Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning☆41Updated 2 months ago
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆20Updated 2 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆128Updated 2 years ago
- ☆24Updated 3 weeks ago
- Papers collections that is related to knowledge graph, causal inference, and large language model☆51Updated 9 months ago
- CPDAG Estimation using PC-Algorithm☆96Updated 3 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆147Updated 8 months ago