English(EN) GTIN: A Unified Framework for Joint Event and Time Prediction in Temporal Graphs

新框架GTIN统一了时序图中的事件和时间预测

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-28 04:00

研究人员推出GTIN，一个新颖的统一框架，旨在预测时序图中的未来事件及其发生时间。该方法旨在捕捉各种网络结构中的复杂动态，在实证评估中表现优于现有方法，尤其是在事件模式不规则的情况下。该框架被认为是推进时序事件预测研究的坚实基础。 AI

排序理由该集群包含一篇在arXiv上发表的研究论文，详细介绍了一个用于时序图分析的新框架。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 该集群包含一篇在arXiv上发表的研究论文，详细介绍了一个用于时序图分析的新框架。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.AI TIER_1 English(EN) · Mohammad Ostadmohammadi, Sepehr Kazemi, Hamid R. Rabiee · 2026-07-28 04:00

GTIN：时序图联合事件与时间预测的统一框架

arXiv:2607.23556v1 Announce Type: cross Abstract: Temporal graphs are increasingly used to model dynamic systems in diverse domains such as social networks, financial networks, and traffic networks. Predicting both what the next event will be and when it will occur in these syste…