Results 71 to 80 of about 40,185 (227)
A Prior Causality‐Guided Multi‐View Diffusion Network for Brain Disorder Classification
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Functional brain networks have been used to diagnose brain disorders such as autism spectrum disorder (ASD) and attention‐deficit/hyperactivity disorder (ADHD). However, existing methods not only fail to fully consider various levels of interaction information between brain regions, but also limit the transmission of information among ...
Xubin Wu +4 more
wiley +1 more source
On $\alpha$-spectral theory of a directed k-uniform hypergraph [PDF]
Computer Science Journal of Moldova, 2020 In this paper, we study a k-uniform directed hypergraph in general form and introduce its adjacency tensor, Laplacian tensor and signless Laplacian tensor. For the $k$-uniform directed hypergraph $\mathcal{H}$ and $0\leq \alpha
Gholam-Hasan Shirdel +2 more
doaj
Connectivity in Hypergraphs [PDF]
Canadian Mathematical Bulletin, 2018 AbstractIn this paper we consider two natural notions of connectivity for hypergraphs: weak and strong. We prove that the strong vertex connectivity of a connected hypergraph is bounded by its weak edge connectivity, thereby extending a theorem of Whitney from graphs to hypergraphs.
David A. Pike, Megan Dewar, John Proos
openaire +4 more sources
A Paradigm of Temporal‐Weather‐Aware Transition Pattern for POI Recommendation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Point of interest (POI) recommendation analyses user preferences through historical check‐in data. However, existing POI recommendation methods often overlook the influence of weather information and face the challenge of sparse historical data for individual users.
Junyang Chen +6 more
wiley +1 more source
Multiview Hypergraph Fusion Network for Change Detection in High-Resolution Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingCurrently, convolutional neural networks and transformers have been the dominant paradigms for change detection (CD) thanks to their powerful local and global feature extraction capabilities. However, with the improvement of resolution, spatial, spectral,
Xue Zhao +5 more
doaj +1 more source
Multi-Level Refinement Algorithm of Weighted Hypergraph Partitioning Problem
Journal of Intelligent Systems, 2017 The formal description of weighted hypergraph partitioning problem is presented. We describe the solution of the weighted hypergraph partitioning problem based on the multi-level method.
Leng Ming, Sun Ling-yu, Guo Kai-qiang
doaj +1 more source
Hypergraph Learning with Line Expansion
, 2020 Previous hypergraph expansions are solely carried out on either vertex level or hyperedge level, thereby missing the symmetric nature of data co-occurrence, and resulting in information loss.
Abdelzaher, Tarek +3 more
core
Dimensions of hypergraphs [PDF]
Journal of Combinatorial Theory, Series B, 1992 AbstractThe dimension D(S) of a family S of subsets of n = {1, 2, …, n} is defined as the minimum number of permutations of n such that every A ∈ S is an intersection of initial segments of the permutations. Equivalent characterizations of D(S) are given in terms of suitable arrangements, interval dimension, order dimension, and the chromatic number of
William T. Trotter, Peter C. Fishburn
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Multi‐View Seizure Classification Based on Attention‐Based Adaptive Graph ProbSparse Hybrid Network
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Epilepsy is a neurological disorder characterised by recurrent seizures due to abnormal neuronal discharges. Seizure detection via EEG signals has progressed, but two main challenges are still encountered. First, EEG data can be distorted by physiological factors and external variables, resulting in noisy brain networks.
Changxu Dong, Yanqing Liu, Dengdi Sun
wiley +1 more source
Multi-grained hypergraph interest modeling for conversational recommendation
AI Open, 2023 Conversational recommender system (CRS) interacts with users through multi-turn dialogues in natural language, which aims to provide high-quality recommendations for user’s instant information need.
Chenzhan Shang +4 more
doaj +1 more source