Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"
☆20May 28, 2023Updated 3 years ago
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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆78Jul 8, 2021Updated 5 years ago
- Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.☆15Jan 15, 2023Updated 3 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆27Feb 15, 2024Updated 2 years ago
- Breast cancer prediction using causal Inference☆11Sep 17, 2021Updated 4 years ago
- ☆30Nov 15, 2018Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆132Mar 24, 2023Updated 3 years ago
- Simulation code and results for https://arxiv.org/abs/1705.08527☆13Apr 12, 2022Updated 4 years ago
- This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.☆16May 3, 2022Updated 4 years ago
- ☆26Feb 16, 2022Updated 4 years ago
- A Flow-based Variational Autoencoder for Molecule Generation☆10Feb 21, 2022Updated 4 years ago
- ☆11Aug 13, 2019Updated 6 years ago
- Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…☆17Nov 12, 2019Updated 6 years ago
- An awesome list of Causality and Machine Learning related papers, books and other resources.☆12Nov 13, 2023Updated 2 years ago
- ☆16Aug 28, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A Python package implementing a variety of statistical methods that rely on kernels (e.g. HSIC for independence testing).☆17Jan 12, 2022Updated 4 years ago
- ☆19Mar 28, 2022Updated 4 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Jun 21, 2022Updated 4 years ago
- Causal Inference for Time Series Data (with CausalML Demo)☆14Jun 11, 2023Updated 3 years ago
- Unofficial pytorch implementation of DisenGCN☆14Jun 19, 2023Updated 3 years ago
- A set of kernel-based (Un)conditional independence tests including SDCIT (Lee and Honavar, UAI 2017)☆16Jun 26, 2026Updated 3 weeks ago
- Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".☆19Feb 7, 2024Updated 2 years ago
- Pytorch Implementation for paper "Adversarial Graph Disentanglement"☆13Jul 18, 2023Updated 3 years ago
- CXR-ACGAN: Auxiliary Classifier GAN (AC-GAN) for Chest X-Ray (CXR) Images Generation (Pneumonia, COVID-19 and healthy patients) for the p…☆12Jun 14, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A Pytorch implementation of Semi-implicit-graph-variational-auto-encoders☆14May 2, 2020Updated 6 years ago
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"☆15Jul 17, 2021Updated 5 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆67Oct 10, 2022Updated 3 years ago
- ☆20Jun 27, 2026Updated 3 weeks ago
- This is the official release code of AAAI2023 accepted paper: "Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction"☆12Nov 23, 2022Updated 3 years ago
- 西瓜视频下载☆15Apr 30, 2024Updated 2 years ago
- 事件抽取基线模型☆13Feb 16, 2023Updated 3 years ago
- TeamTalk is a solution for enterprise IM☆17Jan 7, 2022Updated 4 years ago
- ☆14Nov 30, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆24Apr 27, 2023Updated 3 years ago
- MR-link and genome integration. genome_integration is a repository for the analysis of genomic data. Specifically, the repository impleme…☆11Jul 8, 2022Updated 4 years ago
- ☆19May 21, 2025Updated last year
- EKG Analysis code for the MI3 intern group at CHOC Children's☆17Feb 10, 2019Updated 7 years ago
- Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.☆11Jun 12, 2023Updated 3 years ago
- ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"☆13Apr 4, 2021Updated 5 years ago
- Codebase for Hyperdecoders https://arxiv.org/abs/2203.08304☆14Oct 11, 2022Updated 3 years ago