Results 41 to 50 of about 1,673 (179)

H2CD: Semantic‐Enhanced Heterogeneous Hypergraph Network With Large Language Model for Cognitive Diagnosis

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Cognitive diagnosis aims to infer learners' knowledge states from their exercise responses, enabling personalised education at scale. Existing methods represent exercises solely by coarse‐grained knowledge component annotations, overlooking semantic content and step‐level cognitive processes.
Youheng Bai, Zitao Liu, Mingliang Hou, Teng Guo, Weiqi Luo   +4 more
wiley   +1 more source

Learning on Partial-Order Hypergraphs

Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018
Graph-based learning methods explicitly consider the relations between two entities (i.e., vertices) for learning the prediction function. They have been widely used in semi-supervised learning, manifold ranking, and clustering, among other tasks.
Fuli Feng, Xiangnan He 0001, Yiqun Liu 0001, Liqiang Nie, Tat-Seng Chua   +4 more
openaire   +1 more source

NE-DCHL: Nonlinear Enhanced Disentangled Contrastive Hypergraph Learning for Next Point-of-Interest Recommendation

Information
Next Point-of-Interest (POI) recommendation is a crucial task in personalized location-based services, aiming to predict the next POI that a user might visit based on their historical trajectories. Although sequence models and Graph Neural Networks (GNNs)
Hongwei Zhang, Guolong Wang, Xiaofeng Yan   +2 more
doaj   +1 more source

Android Malware Detection Based on Hypergraph Neural Networks

Applied Sciences, 2023
Android has been the most widely used operating system for mobile phones over the past few years. Malicious attacks against android are a major privacy and security concern. Malware detection techniques for android applications are therefore significant.
Dehua Zhang, Xiangbo Wu, Erlu He, Xiaobo Guo, Xiaopeng Yang, Ruibo Li, Hao Li   +6 more
doaj   +1 more source

Clusterix: A Hybrid Visualization Model for Hierarchically Clustered Networks

Computer Graphics Forum, EarlyView.
Abstract We introduce Clusterix, a novel hybrid visualization model for representing hierarchically clustered networks, which also supports directed and weighted edges. Clusterix offers an integrated view of both the network and its full cluster hierarchy by compactly visualizing the cluster inclusion tree enriched with links of the network.
Carla Binucci, Annika Bonerath, Walter Didimo, Henry Förster, Seok‐Hee Hong, Maria Eleni Pavlidi, Alessandra Tappini   +6 more
wiley   +1 more source

MHCLSyn: Multi-View Hypergraph Contrastive Learning for Synergistic Drug Combination Prediction

Big Data Mining and Analytics
In the field of cancer treatment, drug combination therapy appears to be a promising treatment strategy compared to monotherapy. Recently, plenty of computational models are gradually applied to prioritize synergistic drug combinations.
Lei Li, Guodong Lü, Chunhou Zheng, Renyong Lin, Yansen Su   +4 more
doaj   +1 more source

Single‐cell marker gene clustering: A unified deep learning framework for marker gene‐based clustering of single‐cell RNA‐sequencing data

Quantitative Biology, Volume 14, Issue 3, September 2026.
Abstract Single‐cell RNA sequencing (scRNA‐seq) has transformed the study of cellular heterogeneity by making it possible to classify individual cells and their functional states. However, the analysis remains difficult because high dropout rates lead to sparse and noisy expression data.
Shahriar Rahman Niloy, Toushif Muktashid Hasan, Md. Saiduzzaman Apu, Fahim Hafiz, Salekul Islam, Riasat Azim   +5 more
wiley   +1 more source

Supervised Restricted Data Fusion With Common, Local, and Distinct Components

Journal of Chemometrics, Volume 40, Issue 8, August 2026.
ABSTRACT In multi‐block data, the dominant sources of variation are not always most relevant to a response of interest, meaning that purely exploratory decompositions may fail to recover subtle but important response‐associated structure. We introduce PESCAR, a supervised extension of Penalised Exponential Simultaneous Component Analysis (PESCA) that ...
Fred T. G. White, Geert Roelof van der Ploeg, Anna Heintz‐Buschart, Lemeng Dong, Harro J. Bouwmeester, Age K. Smilde, Johan A. Westerhuis   +6 more
wiley   +1 more source

Relational Learning with Hypergraphs

, 2013
Keywords: relational learning ; hypergraph learning ; spectral graph theory ; recommender system ; network traffic inspection These Ecole polytechnique federale de Lausanne EPFL, n° 5807 (2013)Programme doctoral Informatique, Communications et InformationFaculte informatique et communicationsInstitut d'informatique fondamentaleLaboratoire d ...
openaire   +1 more source

Asymmetric Results About Graph Homomorphisms

Random Structures &Algorithms, Volume 69, Issue 1, August 2026.
ABSTRACT Many important results in extremal graph theory can be roughly summarized as “if a triangle‐free graph G$$ G $$ has certain properties, then it has a homomorphism to a triangle‐free graph Γ$$ \Gamma $$ of bounded size.” For example, bounds on homomorphism thresholds give such a statement if G$$ G $$ has sufficiently high minimum degree, and ...
Lior Gishboliner, Eoin Hurley, Yuval Wigderson   +2 more
wiley   +1 more source