An awesome collection of causality-inspired graph neural networks.
☆107Nov 30, 2024Updated last year
Alternatives and similar repositories for Awesome-Causality-Inspired-GNNs
Users that are interested in Awesome-Causality-Inspired-GNNs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆21Dec 13, 2024Updated last year
- ☆34Aug 24, 2023Updated 3 years ago
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆42Jun 13, 2022Updated 4 years ago
- Official codes of KDD'24 paper "HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning"☆10Sep 4, 2024Updated 2 years ago
- The code for TrafficClaw.☆14Jun 8, 2026Updated 4 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆22Oct 29, 2021Updated 5 years ago
- A list of Graph Causal Learning materials.☆214Jan 24, 2025Updated last year
- ☆12Feb 19, 2024Updated 2 years ago
- UUKG: Unified Urban Knowledge Graph Dataset for Knowledge-Enhanced Urban Spatiotemporal Prediction☆119Apr 29, 2025Updated last year
- JAILJUDGE: A comprehensive evaluation benchmark which includes a wide range of risk scenarios with complex malicious prompts (e.g., synth…☆67Dec 13, 2024Updated last year
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆31Aug 28, 2024Updated 2 years ago
- An Awesome Collection of Urban Foundation Models (UFMs).☆230Apr 7, 2026Updated 6 months ago
- GOODAT: Towards Test-time Graph Out-of-Distribution Detection☆13Mar 18, 2024Updated 2 years ago
- AAAI 2024 Accept☆19Apr 24, 2024Updated 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.
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆141Nov 28, 2025Updated 11 months ago
- Open-source datasets for paper "Fairness in Graph Mining: A Survey".☆18Nov 3, 2022Updated 3 years ago
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆23Nov 4, 2024Updated last year
- Filtered - PCMCI (F-PCMCI) causal discovery algorithm. Extension of the PCMCI causal discovery algorithm augmented with a feature selecti…☆32Jun 22, 2025Updated last year
- Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking. (NeurIPS 2024)☆168Nov 30, 2024Updated last year
- Papers about out-of-distribution generalization on graphs.☆169Jun 5, 2023Updated 3 years ago
- A revised and cleaned version of Yu and Chen et al.'s "DAG Structure Learning with Graph Neural Networks" algorithm.☆25Apr 22, 2021Updated 5 years ago
- Paper List for Fair Graph Learning (FairGL).☆143Sep 18, 2024Updated 2 years ago
- ☆20Apr 25, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official implementation of the paper "CHIMERA: A Knowledge Base of Idea Recombination in Scientific Literature"☆13Jun 29, 2026Updated 4 months ago
- [ICML2024] Learning Divergence Fields for Shift-Robust Graph Representations☆11Aug 15, 2024Updated 2 years ago
- [NeurIPS2025] Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition☆36Oct 21, 2025Updated last year
- Agent-Omit: Training Efficient LLM Agents for Adaptive Thought and Observation Omission via Reinforcement Learning☆36May 11, 2026Updated 5 months ago
- [CIKM 2023] Towards Fair Graph Neural Networks via Graph Counterfactual.☆14Mar 4, 2025Updated last year
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Jul 25, 2024Updated 2 years ago
- ☆33Oct 18, 2024Updated 2 years ago
- General Strategy for Unlearning in Graph Neural Networks☆50Feb 20, 2023Updated 3 years ago
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆33May 22, 2026Updated 5 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- The implementation of Meta-Pec☆14Sep 13, 2023Updated 3 years ago
- ☆29Jun 18, 2024Updated 2 years 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
- Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"☆27Jun 26, 2025Updated last year
- Causal Discovery in Python. Learning causality from data.☆1,708Sep 4, 2026Updated last month
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆23May 25, 2023Updated 3 years ago
- The dataset and code for paper "SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers"☆15Oct 15, 2025Updated last year