Titlebook: Database Systems for Advanced Applications; 29th International C Makoto Onizuka,Jae-Gil Lee,Kejing Lu Conference proceedings 2024 The Edito

独特性

MANE: A Multi-cascade Adversarial Network Embedding Model for Anchor Link Predictionf user-generated content or network structure to create latent representations. These representations are then used to determine user correspondences by mapping users between different network representation spaces. However, most studies still face some challenges such as independent representation

narcotic

uTransfer: Unified Transferability Metric Incorporating Heterogeneous User Data in Social Networkitional similarity metrics often yield redundant neighbor information and fail to adequately consider the scarcity of user behaviors, thereby diminishing their effectiveness. This study endeavors to delve into the transferability between users by analyzing their heterogeneous data, to identify the m

assail

GPSR: Graph Prompt for Session-Based Recommendationg is typically confined to pure graph learning tasks, such as node classification or link prediction. So far, graph prompt learning has been scarcely applied to recommender system, particularly in sequential recommendation. In this paper, we propose a pioneering approach, Graph Prompt for Session-ba

Nomadic

Acclaim

fibroblast

Global Route Planning for Large-Scale Requests on Traffic-Aware Road Networkdestination queries arrive, these queries themselves will affect road congestion. Therefore, it is necessary to plan different routes in advance for these queries to avoid simultaneous occupation of the same roads, thereby reducing congestion and global travel time. Nevertheless, this is not trivial