Hypergraph-Based Organizers’ Behavior Scheduling Optimization: High-Order Relationships Discovery

Hypergraph-Based Organizers’ Behavior Scheduling Optimization: High-Order Relationships Discovery

In the context of organizers’ behavior scheduling optimization, accurately assessing and optimizing scheduling programs is essential. This paper introduces HyperFusion, a framework designed to enhance scheduling efficiency through hypergraph learning techniques and an adaptive feature fus...

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Bibliographic Details
Main Authors: Ziqi Xu, Huiqi Zhang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Hyperfusion
hypergraph learning
organizers
high-order
dense subgraphs
Online Access:https://ieeexplore.ieee.org/document/10838518/
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