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

顛簸下上

新娘

廚師

https://doi.org/10.1007/1-4020-4097-0ion, but also effectively reduces the memory consumption at all time. We also devise an effective workload balance mechanism that is automatically triggered by the idle machines to handle skewed workloads. The experiment results demonstrate the efficiency and scalability of our proposed algorithm.

restrain

MRSCN: A GNN-based Model for?Mining Relationship Strength Changes Between Nodes in?Dynamic Networksup model. We develop two group mining algorithms. We conduct extensive experiments on real-life dynamic networks to evaluate our models. The results demonstrate the effectiveness of the proposed MRSCN model and the drastic group mining method.

提升

An Efficient Index-Based Method for?Skyline Path Query over?Temporal Graphs with?LabelsMP nodes search and Mout set construction. Based on this index, we propose an efficient TMP algorithm to provide the skyline path query over temporal graphs with labels. Finally, extensive experiments show the effectiveness and efficiency of our proposed algorithm.

原告

Efficient and?Scalable Distributed Graph Structural Clustering at?Billion Scaleion, but also effectively reduces the memory consumption at all time. We also devise an effective workload balance mechanism that is automatically triggered by the idle machines to handle skewed workloads. The experiment results demonstrate the efficiency and scalability of our proposed algorithm.

舊石器

跑過

SRACas: A Social Role-Aware Graph Neural Network-Based Model for?Popularity Prediction of?Informatioors and change the structure and popularity of information cascades. Existing deep learning-based methods utilize several independent sub-cascade graphs or paths to learn cascade representations, which lose vital information about social roles and dynamics between sub-cascades at different moments.