3 papers
cs.LG2026
Coden: Efficient Temporal Graph Neural Networks for Continuous Prediction
Zulun Zhu, Siqiang Luo
Temporal Graph Neural Networks (TGNNs) are pivotal in processing dynamic graphs. However, existing TGNNs primarily target one-time predictions for a given temporal span, whereas ma…
cs.IR2025
Right Answer at the Right Time - Temporal Retrieval-Augmented Generation via Graph Summarization
Zulun Zhu, Haoyu Liu, Mengke He +1
Question answering in temporal knowledge graphs requires retrieval that is both time-consistent and efficient. Existing RAG methods are largely semantic and typically neglect expli…
cs.DS2025
Near-Optimality for Single-Source Personalized PageRank
Xinpeng Jiang, Haoyu Liu, Siqiang Luo +1
The \emph{Single-Source Personalized PageRank} (SSPPR) query is central to graph OLAP, measuring the probability that an -decay random walk from node terminates at…