This repository contains TimeGraph, a synthetic benchmark suite for evaluating temporal causal discovery methods. It includes scripts for dataset generation, and protocols that reflect realistic temporal properties like autocorrelation and nonstationarity. Released with our KDD 2025 paper to support transparent & reproducible research.
☆20Jun 3, 2025Updated last year
Alternatives and similar repositories for TimeGraph
Users that are interested in TimeGraph are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The CausalRivers benchmark package. Evaluate your Causal Discovery method on real-world data.☆51Jun 26, 2026Updated 2 months ago
- [KDD2025] Modeling Time-evolving Causality over Data Streams. https://dl.acm.org/doi/10.1145/3690624.3709283☆16Sep 18, 2025Updated 11 months ago
- Adjustment Identification Distance: A gadjid for Causal Structure Learning☆17Apr 23, 2026Updated 4 months ago
- Causal Discovery via Bayesian Optimization (DrBO) - ICLR 2025☆24Apr 13, 2025Updated last year
- Code for PCMCI-Ω algorithm from the NeurIPS'23 paper "Causal Discovery in Semi-Stationary Time Series"☆19Oct 16, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- CausalDisco contains baseline algorithms and analytics tools for Causal Discovery. The package can be installed by running `pip install C…☆18Jun 16, 2026Updated 2 months ago
- Code to reproduce the paper "Do causal predictors generalize better to new domains?"☆17Feb 7, 2025Updated last year
- Neuropathic Pain Diagnosis Simulator☆14Jul 6, 2023Updated 3 years ago
- dagrad is a Python package that provides an extensible, modular platform for developing and experimenting with differentiable (gradient-b…☆16May 8, 2025Updated last year
- Welcome to the official repository for the paper "Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain…☆26Apr 1, 2024Updated 2 years ago
- ☆11Jul 21, 2024Updated 2 years ago
- Official codes for "Addressing Information Asymmetry: Deep Temporal Causality Discovery for Mixed Time Series" (TPAMI 2025)☆23Jul 6, 2025Updated last year
- UZH Epi/Biostat Methods Seminar Spring 2020: Deep Learning☆13May 7, 2020Updated 6 years ago
- Implementation for paper CauScale: Neural Causal Discovery at Scale.☆25Jun 2, 2026Updated 2 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆37Aug 19, 2025Updated last year
- ☆29Dec 20, 2021Updated 4 years ago
- ☆15Aug 24, 2025Updated last year
- [KDD 2023 (Oral)] Discovering Dynamic Causal Space for DAG Structure Learning☆24Jun 15, 2023Updated 3 years ago
- ☆46Apr 12, 2026Updated 4 months ago
- Code repository for the paper : Causal thinking for decision making on Electronic Health Records: why and how☆25Nov 10, 2023Updated 2 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆79Feb 11, 2025Updated last year
- CRAN Task View: Machine Learning & Statistical Learning☆18Jul 24, 2026Updated last month
- Timeflux demos☆18Jun 8, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- CausalFlow: a Unified Framework for Causality in Time-Series☆73May 10, 2026Updated 3 months ago
- code for unsupervised entity resolution☆10Apr 26, 2019Updated 7 years ago
- ☆34Feb 23, 2023Updated 3 years ago
- ☆13Aug 6, 2025Updated last year
- ☆13Nov 15, 2022Updated 3 years ago
- Code helper for BEETL competition☆12Sep 11, 2021Updated 4 years ago
- ☆15Jun 28, 2021Updated 5 years ago
- Fast computation of some matrices useful in statistics☆21Feb 27, 2026Updated 6 months ago
- ☆12Aug 16, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Basic code for adaptive batch in pytorch☆18Aug 7, 2026Updated 3 weeks ago
- BaCaDI: Bayesian Causal Discovery with Unknown Interventions☆15Feb 23, 2023Updated 3 years ago
- ☆40Dec 11, 2018Updated 7 years ago
- Code to reproduce the experiments from the paper "Self-Compatibility: Evaluating Causal Discovery without Ground Truth"☆12Mar 9, 2024Updated 2 years ago
- Files related to an insight data science project focused on predicting death in atherosclerosis patients from the MIMICIII database.☆11Mar 20, 2018Updated 8 years ago
- ☆11Oct 11, 2024Updated last year
- Weakly Supervised Temporal Anomaly Segmentation☆16Nov 24, 2021Updated 4 years ago