Results 21 to 30 of about 47,538 (182)

High-Quality Hypergraph Partitioning [PDF]

open access: yesACM Journal of Experimental Algorithmics, 2021
Hypergraphs are a generalization of graphs where edges (aka nets) are allowed to connect more than two vertices. They have a similarly wide range of applications as graphs.
Sebastian Schlag   +5 more
semanticscholar   +1 more source

Nonintersecting Ryser Hypergraphs [PDF]

open access: yesSIAM Journal on Discrete Mathematics, 2020
8 pages, some corrections in the proof of Lemma 3.6, added more explanation in the appendix, and other minor ...
Bishnoi A., Pepe V.
openaire   +2 more sources

Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence
We introduce Hyper-YOLO, a new object detection method that integrates hypergraph computations to capture the complex high-order correlations among visual features.
Yifan Feng   +8 more
semanticscholar   +1 more source

Dynamic weighted hypergraph convolutional network for brain functional connectome analysis

open access: yesMedical Image Anal., 2023
The hypergraph structure has been utilized to characterize the brain functional connectome (FC) by capturing the high order relationships among multiple brain regions of interest (ROIs) compared with a simple graph. Accordingly, hypergraph neural network
Junqi Wang   +6 more
semanticscholar   +1 more source

Be More with Less: Hypergraph Attention Networks for Inductive Text Classification [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2020
Text classification is a critical research topic with broad applications in natural language processing. Recently, graph neural networks (GNNs) have received increasing attention in the research community and demonstrated their promising results on this ...
Kaize Ding   +4 more
semanticscholar   +1 more source

Pattern Hypergraphs [PDF]

open access: yesThe Electronic Journal of Combinatorics, 2010
The notion of pattern hypergraph provides a unified view of several previously studied coloring concepts. A pattern hypergraph $H$ is a hypergraph where each edge is assigned a type $\Pi_i$ that determines which of possible colorings of the edge are proper. A vertex coloring of $H$ is proper if it is proper for every edge.
Dvořák, Zdeněk   +3 more
openaire   +2 more sources

Oriented hypergraphs: Balanceability

open access: yesDiscrete Mathematics, 2022
An oriented hypergraph is an oriented incidence structure that extends the concepts of signed graphs, balanced hypergraphs, and balanced matrices. We introduce hypergraphic structures and techniques that generalize the circuit classification of the signed graphic frame matroid to any oriented hypergraphic incidence matrix via its locally-signed-graphic
Lucas J. Rusnak   +4 more
openaire   +2 more sources

Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach

open access: yesAAAI Conference on Artificial Intelligence, 2021
Quantitative trading and investment decision making are intricate financial tasks that rely on accurate stock selection. Despite advances in deep learning that have made significant progress in the complex and highly stochastic stock prediction problem ...
Ramit Sawhney   +4 more
semanticscholar   +1 more source

Complex hypergraphs

open access: yesPhysical Review E, 2023
Providing an abstract representation of natural and human complex structures is a challenging problem. Accounting for the system heterogenous components while allowing for analytical tractability is a difficult balance. Here I introduce complex hypergraphs (chygraphs), bringing together concepts from hypergraphs, multi-layer networks, simplicial ...
openaire   +3 more sources

A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide [PDF]

open access: yesKnowledge Discovery and Data Mining
Higher-order interactions (HOIs) are ubiquitous in real-world complex systems and applications. Investigation of deep learning for HOIs, thus, has become a valuable agenda for the data mining and machine learning communities.
Sunwoo Kim   +5 more
semanticscholar   +1 more source

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