Results 261 to 270 of about 27,298 (312)
Factorization norms and an inverse theorem for MaxCut. [PDF]
Balla I, Hambardzumyan L, Tomon I.
europepmc +1 more source
Modularity‐Preserving Hamiltonian Compression for QAOA‐Based Community Detection
This work explores several quantum methods to community detection in networks by simplifying modularity‐based Hamiltonians. By reducing circuit complexity through sparsification, spectral projection, and penalty techniques, the methods retain key structural information while improving efficiency.
Danilo Cavaliere +2 more
wiley +1 more source
OFGPMA: Optimal frequency graph representation learning for pseudogene and miRNA association prediction. [PDF]
Zeng Y, Xiong L, Luo Y.
europepmc +1 more source
A Resource Efficient Ising Model‐Based Quantum Sudoku Solver
ABSTRACT Background Quantum algorithms exploit superposition and parallelism to address complex combinatorial problems, many of which fall into the non‐polynomial (NP) class. Sudoku, a widely known logic‐based puzzle, is proven to be NP‐complete and thus presents a suitable testbed for exploring quantum optimization approaches.
Wen‐Li Wang +5 more
wiley +1 more source
Relational subgraphs fused with complete subgraphs based on the knowledge graph for mining protein complexes. [PDF]
Zhao R, Zhang D, Kou Y, Xian G, Yang X.
europepmc +1 more source
Text Mining in Bibliometrics and Science Mapping: A Methodological Review
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley +1 more source
Network motif detection using hidden markov models. [PDF]
Bampos C, Megalooikonomou V.
europepmc +1 more source
Predicting SARS‐CoV‐2 Infection With Graph Attention Capsule Networks
ABSTRACT Recent studies in machine learning have demonstrated the effectiveness of applying graph neural networks (GNNs) to single‐cell RNA sequencing (scRNA‐seq) data to predict COVID‐19 disease states. In this study, we propose an explainable graph attention capsule network (GACapNet), which extracts and fuses Severe Acute Respiratory Syndrome ...
Runjie Zhu +4 more
wiley +1 more source
Hierarchical spatio-temporal graph network for risk prediction. [PDF]
Chen F, Jia H, Zhou W, Zhu L, Xiao L.
europepmc +1 more source

