Text-attributed graph (TAG) clustering seeks to identify node groups by jointly exploiting the semantic information encoded in textual attributes and the structural information captured by graph connectivity. Despite significant progress, their performance often becomes less satisfactory under long-tailed distributions...
Yi-Wei Fu, Chun-Chun Chen, Yu-Xing Zhang et al.· Proceedings of the 35th ACM...· 0 citations
Large-scale super-apps generate heterogeneous transaction logs in which users interact with multiple businesses, item identifiers are only partially available, and future value targets are sparse, heavy-tailed, and cumulative over time. We study multi-business, multi-horizon value prediction as a data-intensive analyti...
Zi-Yang Su, Yao Zhou, Ke-Lin Liu et al.· 0 citations
DualClusterNet is presented, a causal sequential recommender that composes two population-shared prototype dictionaries that composes two population-shared prototype dictionaries and evaluates on NYC and TKY using a training-only vocabulary and an original-final-target protocol that neither bridges unknown POIs nor sub...
Zi-Yang Su, Guan-Jie Zheng, Ji-Lin Hu et al.· 0 citations
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