Titlebook: Database Systems for Advanced Applications; 28th International C Xin Wang,Maria Luisa Sapino,Hongzhi Yin Conference proceedings 2023 The Ed

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書目名稱Database Systems for Advanced Applications影響因子(影響力)




書目名稱Database Systems for Advanced Applications影響因子(影響力)學(xué)科排名




書目名稱Database Systems for Advanced Applications網(wǎng)絡(luò)公開度




書目名稱Database Systems for Advanced Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Database Systems for Advanced Applications被引頻次




書目名稱Database Systems for Advanced Applications被引頻次學(xué)科排名




書目名稱Database Systems for Advanced Applications年度引用




書目名稱Database Systems for Advanced Applications年度引用學(xué)科排名




書目名稱Database Systems for Advanced Applications讀者反饋




書目名稱Database Systems for Advanced Applications讀者反饋學(xué)科排名

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978-3-031-30674-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

Tractable

https://doi.org/10.1007/978-3-658-42489-3r and what their relationship is. This task is challenging because the heterogeneous social network is non-trivial to leverage and the collected data is always noisy and incomplete, which leads that the existing rule-based and representation methods cannot efficiently and accurately reason social re

Root494

拱墻

Carlos Gómez-Corona,Heber Rodriguessince society is evolving with constantly emerging social events, it is extremely difficult to accurately capture their semantics and evolution rules at an early stage. Meanwhile, traditional solutions require extensive training from scratch to accommodate new events, leading to lagging predictions

使饑餓

使饑餓

Oscar Vorobjovas-Pinta,Clifford Lewismunity search on signed network expects to explore the polarized communities (i.e., two antagonistic subgraphs) containing the set of query nodes. Though previous studies have been proven effective, they generally ignore two insights. First, node attributes provide side information to describe featu

虛假

Offshore Sailing: Subcultures and Neotribes To support subgraph reconstruction, a naive approach is materializing subgraph embeddings for all possible candidate subgraphs in advance, which is impractical since the subgraphs are exponential to the size of the input graph. Therefore, it is desired to devise a subgraph embedding based on which

卡死偷電

Palate