期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (6)
Interactive graph search leverages human intelligence to categorize target labels in a hierarchy, which is useful for image classification, product ca......
期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (6)
Path-based solutions have been shown to be useful for various graph analysis tasks, such as link prediction and graph clustering. However, they are no......
期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (9)
The ever-growing amount of dynamic graph data demands efficient techniques of incremental graph processing. However, incremental graph algorithms are ......
期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (6)
Data confidentiality is one of the biggest concerns that hinders enterprise customers from moving their workloads to the cloud. Thanks to the trusted ......
期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (8)
Indoor venues accommodate many people who collectively form crowds. Such crowds in turn influence people's routing choices, e.g., people may prefer to......
期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (7)
Influence maximization (IM) is a fundamental task in social network analysis. Typically, IM aims at selecting a set of seeds for the network that infl......
期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (7)
Given an undirected graph and a number of vertex groups, the group Steiner tree problem is to find a tree such that (i) this tree contains at least on......
期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (8)
This paper studies how to catch duplicates, mismatches and conflicts in the same process. We adopt a class of entity enhancing rules that embed machin......
期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (5)
Many modern data-oriented applications are built on top of distributed OLTP databases for both scalability and high availability. Such distributed dat......
期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (6)
Despite the fact that GPUs and accelerators are more efficient in deep learning (DL), commercial clouds like Facebook and Amazon now heavily use CPUs ......
期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (9)
Query optimizers rely on accurate cardinality estimation (CardEst) to produce good execution plans. The core problem of CardEst is how to model the ri......
期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (6)
Searching a community containing a given query vertex in an online social network enjoys wide applications like recommendation, team organization, etc......
期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (9)
Network kernel density visualization, or NKDV, has been extensively used to visualize spatial data points in various domains, including traffic accide......
期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (7)
Real-world data is dirty, which causes serious problems in (supervised) machine learning (ML). The widely used practice in such scenario is to first r......
期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (9)
The distance-generalized core, also called (k, h)-core, is defined as the maximal subgraph in which every vertex has at least k vertices at distance n......