被KDD 2026收录的AI for Science研究，数据驱动AI揭示复合洪水形成机制
arXiv:2506.04281v2 Announce Type: replace Abstract: Compound flooding, driven by nonlinear interactions between multiple hydrometeorological factors, …
重新审视LLM如何利用拓扑与文本双重信息，提升文本属性图的分布外检测性能，被KDD 2026收录的研究。
arXiv:2602.11641v2 Announce Type: replace Abstract: Text-attributed graphs (TAGs) associate nodes with textual attributes and graph structure, enablin…
用LLM多智能体协作生成教育视频，颠覆传统端到端模型，KDD'26收录的学术新范式。
arXiv:2602.11790v2 Announce Type: replace Abstract: Although recent end-to-end video generation models demonstrate impressive performance in visually …
SIGKDD 2026接收论文，提出TimeBlocks统一时间序列建模框架，兼具基础模型能力与持续学习，适合时序预测研究者。
arXiv:2606.02142v1 Announce Type: new Abstract: The ongoing digitization has led to a proliferation of time-series data streams that monitor a variety…
基因到功能：首个LLM生命科学推理基准，SIGKDD 2026录用，填补评估空白。
arXiv:2601.12805v3 Announce Type: replace-cross Abstract: Large language models (LLMs) have shown growing promise in biomedical research, particularly…