This repository serves as a curated bibliography for spatio-temporal prediction research, addressing the challenge of consolidating scattered academic literature. It provides a centralized, up-to-date list of papers from leading conferences, benefiting researchers and practitioners by streamlining literature reviews and highlighting key advancements in the field.

How It Works

The project functions as a continuously updated compilation of spatio-temporal prediction papers sourced from major academic venues like KDD, ICML, NeurIPS, and others. Paper selection is notably assisted by large language models, aiming to identify relevant contributions. This approach offers a consolidated overview of research trends and methodologies across the spatio-temporal prediction landscape.

Quick Start & Requirements

This repository is a curated list of academic papers and does not involve software installation or execution. Requirements are limited to accessing academic literature. The README indicates ongoing efforts to expand the collection.

Highlighted Details

• Comprehensive coverage of papers from top-tier conferences including KDD, ICML, NeurIPS, ICLR, AAAI, WWW, ICDE, IJCAI, WSDM, CIKM, IEEE TITS, and IEEE TMC.
• Regular updates ensure inclusion of the latest research, with recent additions noted for KDD 2025, IJCAI 2024, and other major conferences.
• Leverages large language models for paper curation, indicating a modern, AI-assisted approach to literature compilation.

Maintenance & Community

The repository indicates ongoing efforts to expand its collection, suggesting active maintenance. No specific details regarding contributors, sponsorships, or community channels (e.g., Discord, Slack) are provided in the README.

Licensing & Compatibility

No license information is specified in the README. This lack of clarity may pose compatibility concerns for commercial use or derivative works.

Limitations & Caveats

The metadata may not be exhaustive and could inadvertently include irrelevant papers due to the LLM-based selection process. The provided [link] placeholders are not functional URLs.