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Abstract: Existing dynamic weighted graph visualization approaches rely on users' mental comparison to perceive temporal evolution of dynamic weighted graphs , hindering users from effectively ...
Attribute Prediction Model Based on Weighted Graph Diffusion Convolution Network, named DST-WDCN. Firstly, the graph adjacency matrix is defined based on both the explicit graph structure and the hidden ...
based on weighted graph representation (WGR-TWD). The weighted graph representation (WGR) can well transform the global structure into vector representation and make the two nodes in the boundary region ...
the illegal drug transaction. ICPMS 2020 IOP Publishing Journal of Physics: Conference Series 1592 (2020) 012035 doi:10.1088/1742-6596/1592/1/012035 Drug trading analysis model based on weight graph ...
nuclear power systems based on a weighted graph structure. First, WGS is used to learn to characterize the dependencies and weights among complex multivariate data and construct an interpretable graph ...
Graph Optimization (FGO). Finally, we design the weight model based on the signal quality of each satellite and the time fading factor to further improve the localization accuracy of the conventional FGO ...
. In this work, we introduce a new graph PE, Graph Automaton PE (GAPE), based on weighted graph -walking automata (a novel extension of graph -walking automata). We compare the performance of GAPE with other PE ...
to obtain numerous new bases from weighted graphs for the algebra of symmetric functions. Moreover, we classify when two weighted paths have equal extended chromatic symmetric functions by proving ...
and minimize energy cost. Specifically, a two-stage deployment strategy (TSBA) is designed. Firstly, a matching algorithm (MA) based on weighted graph matching is proposed to improve resource utilization ...
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