Results 11 to 20 of about 41,775 (290)
Leap: Inductive Link Prediction via Learnable Topology Augmentation
Link prediction is a crucial task in many downstream applications of graph machine learning. To this end, Graph Neural Network (GNN) is a widely used technique for link prediction, mainly in transductive settings, where the goal is to predict missing links between existing nodes.
Ahmed E. Samy +2 more
openaire +3 more sources
Design and Optimization of a 3-Coil Inductive Link for Efficient Wireless Power Transmission [PDF]
IEEE Transactions on Biomedical Circuits and Systems, 2011 Mehdi Kiani +2 more
exaly +2 more sources
A Few-Shot Inductive Link Prediction Model in Knowledge Graphs
IEEE Access, 2022 Link prediction aims to predict the missing facts in knowledge graphs. Most previous work focuses on the transductive link prediction, which cannot predict unknown entities.
Ruiting Yang +3 more
doaj +1 more source
A mm-Sized Free-Floating Wireless Implantable Opto-Electro Stimulation Device
Micromachines, 2020 Towards a distributed neural interface, consisting of multiple miniaturized implants, for interfacing with large-scale neuronal ensembles over large brain areas, this paper presents a mm-sized free-floating wirelessly-powered implantable opto-electro ...
Yaoyao Jia +4 more
doaj +1 more source
Low-Power Wireless Data Transfer System for Stimulation in an Intracortical Visual Prosthesis
Sensors, 2021 There is a growing interest to improve the quality of life of blind people. An implanted intracortical prosthesis could be the last resort in many cases of visual impairment. Technology at this moment is at a stage that implementation is at sight. Making
Adedayo Omisakin +2 more
doaj +1 more source
, 2023 Few-shot inductive link prediction on knowledge graphs (KGs) aims to predict missing links for unseen entities with few-shot links observed. Previous methods are limited to transductive scenarios, where entities exist in the knowledge graphs, so they are
Luo, L +4 more
core +2 more sources
Link Prediction Method Combining Relational Path and Directed Subgraph Reasoning [PDF]
Jisuanji kexue yu tansuo, 2023 Aiming at the method of knowledge map completion based on inductive relationship prediction, the existing knowledge graph completion methods based on inductive relationship prediction are limited to direct reasoning, and all entity sets must be known ...
MA Li, YAO Weifan
doaj +1 more source
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning
, 2022 Link prediction for knowledge graphs aims to predict missing connections between entities. Prevailing methods are limited to a transductive setting and hard to process unseen entities.
Mai, S, Zheng, S, Yang, Y, Hu, H, Sun, Y
core +1 more source
A Design of Telemetry System for Small Animals
Journal of Communications Software and Systems, 2021 The external unit of small telemetry system for animals uses inductive link to transmit both data and power to a small implant. In this work, firstly, we have presented a wideband frequency shift keying (FSK) transmitter, which is a class E power ...
Abdelali El Boutahiri +3 more
doaj +1 more source
Tuning class E inverters applied in inductive links using saturable reactors [PDF]
, 2014 This paper investigates the performance of Class E inverters used in wireless power transfer applications based on resonant inductive coupling. The variations in the load and the distance between the coils cause Class E inverters to operate in non ...
Whidborne, James F. +2 more
core +1 more source