Results 71 to 80 of about 9,987 (195)

Predicting Multi-actor collaborations using Hypergraphs [PDF]

, 2014
Social networks are now ubiquitous and most of them contain interactions involving multiple actors (groups) like author collaborations, teams or emails in an organizations, etc.
Chandra, Abhishek, Sharma, Ankit, Srivastava, Jaideep   +2 more
core  

Hypergraph Motif Representation Learning

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1
Hypergraphs have emerged as a powerful tool for representing high-order connections in real-world complex systems. Similar to graphs, local structural patterns in hypergraphs, known as high-order motifs (h-motifs), play a crucial role in network dynamics and serve as fundamental building blocks across various domains.
Alessia Antelmi, Gennaro Cordasco, Daniele De Vinco, Valerio Di Pasquale, Mirko Polato, Carmine Spagnuolo   +5 more
openaire   +2 more sources

Definition and Computation of Tensor‐Based Generalized Function Composition

Numerical Linear Algebra with Applications, Volume 33, Issue 1, February 2026.
ABSTRACT Functions are fundamental to mathematics as they offer a structured and analytical framework to express relations between variables. While scalar and matrix‐based functions are well‐established, higher‐order tensor‐based functions have not been as extensively explored.
Remy Boyer
wiley   +1 more source

Juggling Functions Inside a Database

, 2017
We define and study the Functional Aggregate Query (FAQ) problem, which captures common computational tasks across a very wide range of domains including relational databases, logic, matrix and tensor computation, probabilistic graphical models ...
Khamis, Mahmoud Abo, Ngo, Hung Q., Rudra, Atri   +2 more
core   +1 more source

Lightweight Hybrid Wafer Defect Pattern Network Based on Feedforward Efficient Attention

CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 149-166, February 2026.
ABSTRACT With the increase of semiconductor integration density, in order to cope with the increase of wafer defect complexity and types, especially the low recognition accuracy of overlapping mixed defects and unknown wafer defects, this study proposes a lightweight model for wafer defect detection called LightWMNet.
Zhiqiang Hu, Yiquan Wu
wiley   +1 more source

Protein Complex Identification Algorithm Based on Hypergraph Network Embedding [PDF]

Jisuanji kexue
Protein complexes are crucial for understanding cellular functions and identifying biological processes,playing critical roles in cell biology.The use of network clustering in PPI networks to identify protein complexes has become a hot research topic in ...
WANG Jie, YANG Xiancan, ZHAO Xingwang
doaj   +1 more source

IntelliMetro‐Hybrid: A Machine Learning and Deep Learning Fusion Model for Economic Optimization in Smart Metro Systems

Transactions on Emerging Telecommunications Technologies, Volume 37, Issue 1, January 2026.
IntelliMetro‐Hybrid is an intelligent fusion framework that integrates machine learning (ML) and deep learning (DL) for real‐time anomaly detection and economic optimization in smart metro systems. The model combines tree‐based feature extraction (Random Forest, XG Boost) with a deep neural classifier to effectively handle imbalanced, heterogeneous ...
Sijin Peng, Yongchang Wei, Zhigang Sun, Yong Chen, Jiang Huang, Hao Chen, Liuyi Chen   +6 more
wiley   +1 more source

Quantum Algorithms for Finding Constant-sized Sub-hypergraphs

, 2014
We develop a general framework to construct quantum algorithms that detect if a $3$-uniform hypergraph given as input contains a sub-hypergraph isomorphic to a prespecified constant-sized hypergraph.
A. Ambainis, A. Belovs, F. Magniez, F. Magniez, H. Buhrman, R. Beals, R. Williams, V. Vassilevska Williams, Y. Zhu   +8 more
core   +1 more source

$$\text {H}^2\text {CAN}$$ H 2 CAN : heterogeneous hypergraph attention network with counterfactual learning for multimodal sentiment analysis

Complex & Intelligent Systems
Multimodal sentiment analysis (MSA) has garnered significant attention for its immense potential in human-computer interaction. While cross-modality attention mechanisms are widely used in MSA to capture inter-modality interactions, existing methods are ...
Changqin Huang, Zhenheng Lin, Qionghao Huang, Xiaodi Huang, Fan Jiang, Jili Chen   +5 more
doaj   +1 more source

Multimodal Correlation Feature Processing Method Based on Hypergraph [PDF]

Jisuanji gongcheng, 2017
Features are usually considered as independent of each other in traditional pattern recognition methods.The neglect of the correlation among multimodal features is part of the reason for recognition error.Aiming at integrating multimodal features,this ...
LUO Yong’en,HU Jicheng,XU Qian
doaj   +1 more source