4 citations · 5 across the 6 of their papers we have counts for
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cs.LG2025
HeSRN: Representation Learning On Heterogeneous Graphs via Slot-Aware Retentive Network
Yifan Lu, Ziyun Zou, Belal Alsinglawi +6
Graph Transformers have recently achieved remarkable progress in graph representation learning by capturing long-range dependencies through self-attention. However, their quadratic…
cs.SI2025★ 4 cited
Heterogeneous Temporal Hypergraph Neural Network
Huan Liu, Pengfei Jiao, Mengzhou Gao +2
Graph representation learning (GRL) has emerged as an effective technique for modeling graph-structured data. When modeling heterogeneity and dynamics in real-world complex network…
cs.LG2025★ 1 cited
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
Zehao Liu, Mengzhou Gao, Pengfei Jiao
Multivariate time series anomaly detection has numerous real-world applications and is being extensively studied. Modeling pairwise correlations between variables is crucial. Exist…