Graph Representation Learning and Its Applications: A Survey

Graphs are data structures that effectively represent relational data in the real world.Graph representation learning is a significant task since it could facilitate various downstream tasks, such as node classification, link prediction, etc.Graph representation learning aims to map graph chicago cubs tumbler entities to low-dimensional vectors whi

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Misalignment Tolerance and Interoperability of Wireless Charging System Based on Two-Channel Topology and Coil Optimization

Inductive power transfer (IPT), as a method of wireless power transfer pure energy jeans (WPT) via magnetic induction, can be applied to electric vehicles (EVs) due to its convenience and automation.Interoperability and misalignment tolerance are both major research difficulties for WPT of EVs.This paper proposes a two-channel topology and a coil o

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