Results 31 to 40 of about 4,016 (110)
Cognitive Networks for Knowledge Modeling: A Gentle Introduction for Data‐ and Cognitive Scientists
WIREs Cognitive Science, Volume 17, Issue 2, March/April 2026.Cognitive network science helps organize associative knowledge—that is, the connections between concepts. These connections play a key role in cognitive processes such as language understanding and context interpretation, even though they are not obvious in language use.
Edith Haim, Massimo Stella
wiley +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
Engineering Reports, Volume 8, Issue 1, January 2026.This work tackles the unresolved stability problem of heterogeneous quaternion‐valued BAM neural networks plagued by unknown parameters, time‐varying delays, and impulses. By synergizing Lyapunov theory with inequality techniques, we establish rigorous, yet practical, global stability conditions.
Xi Long, Yaqin Li
wiley +1 more source
Steiner Triple Systems With High Discrepancy
Journal of Combinatorial Designs, Volume 34, Issue 1, Page 5-14, January 2026.ABSTRACT In this paper, we initiate the study of discrepancy questions for combinatorial designs. Specifically, we show that, for every fixed r ≥ 3 and n ≡ 1 , 3 ( mod 6 ), any r‐colouring of the triples on [ n ] admits a Steiner triple system of order n with discrepancy Ω ( n 2 ).
Lior Gishboliner +2 more
wiley +1 more source
International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.Temporal knowledge graph reasoning (TKGR) excels at inferring missing event‐centric facts within a timeline, thereby mitigating the inherent incompleteness of real‐world data. Existing TKGR methods predominantly exploit intrasnapshot structural patterns and intersnapshot temporal dependencies.
Fei Chen +7 more
wiley +1 more source
Quantum‐Enhanced Simulated Annealing Using Rydberg Atoms
Advanced Quantum Technologies, Volume 8, Issue 12, December 2025.This study experimentally demonstrates that a Rydberg hybrid quantum‐classical algorithm, termed as quantum‐enhanced simulated annealing (QESA), provides a computational time advantage over a classical standalone simulated annealing (SA). This scatter plot represents the comparison of QESA versus SA for the 924 graphs with the sizes N=60$N=60$, 80 and ...
Seokho Jeong, Juyoung Park, Jaewook Ahn
wiley +1 more source
On the spectrum of hypergraphs
, 2016 Here we study the spectral properties of an underlying weighted graph of a non-uniform hypergraph by introducing different connectivity matrices, such as adjacency, Laplacian and normalized Laplacian matrices. We show that different structural properties
Chris Ritchie (1952305) +4 more
core +3 more sources
Journal of Graph Theory, Volume 110, Issue 1, Page 82-91, September 2025.ABSTRACT An inversion of a tournament T is obtained by reversing the direction of all edges with both endpoints in some set of vertices. Let inv k ( T ) be the minimum length of a sequence of inversions using sets of size at most k that result in the transitive tournament.
Raphael Yuster
wiley +1 more source
A Sharper Ramsey Theorem for Constrained Drawings
Journal of Graph Theory, Volume 109, Issue 4, Page 401-411, August 2025.ABSTRACT Given a graph G and a collection C of subsets of R d indexed by the subsets of vertices of G, a constrained drawing of G is a drawing where each edge is drawn inside some set from C, in such a way that nonadjacent edges are drawn in sets with disjoint indices. In this paper we prove a Ramsey‐type result for such drawings.
Pavel Paták
wiley +1 more source
Sequentially Constrained Hamilton Cycles in Random Graphs
Random Structures &Algorithms, Volume 67, Issue 1, August 2025.ABSTRACT We discuss the existence of Hamilton cycles in the random graph Gn,p$$ {G}_{n,p} $$ where there are restrictions caused by (i) coloring sequences, (ii) a subset of vertices must occur in a specific order, and (iii) there is a bound on the number of inversions in the associated permutation.
Alan Frieze, Wesley Pegden
wiley +1 more source