Results 91 to 100 of about 14,658 (182)
FUZZY HYPERGRAPH AND FUZZY PARTITION
In this paper, the concept of hypergraph is extended to the fuzzy hypergraph. In the fuzzy hypergraph, the concepts of alpha-cut hypergraph, strength of edge and dual fuzzy hypergraph are developed.
Lee, Kwang-Hyung, LEE, KM
core
On the Local Resilience of Random Geometric Graphs With Respect to Connectivity and Long Cycles
ABSTRACT Given an increasing graph property đ«, a graph G$$ G $$ is α$$ \alpha $$âresilient with respect to đ« if, for every spanning subgraph HâG$$ H\subseteq G $$ where each vertex keeps more than a (1âα)$$ \left(1-\alpha \right) $$âproportion of its neighbors, H$$ H $$ has property đ«.
Alberto Espuny DĂaz +2 more
wiley +1 more source
Learning a Hidden Hypergraph [PDF]
We consider the problem of learning a hypergraph using edge-detecting queries. In this model, the learner may query whether a set of vertices induces an edge of the hidden hypergraph or not.
Jiang Chen, Dana Angluin
core +1 more source
ABSTRACT Rates of evolutionary change vary by gene. While some broad gene categories are highly conserved with little divergence over time, others undergo continuous selection pressure and are highly divergent among populations or species. But such comparative evolutionary studies rely on gene ontology categories that are rarely validated in the study ...
Maria L. Rodgers +11 more
wiley +1 more source
Equivalence between ErdĆsâHajnal and polynomial Rödl and Nikiforov conjectures
Abstract It is wellâknown that polynomial versions of theorems of Rödl and Nikiforov, as conjectured by Fox and Sudakov and Nguyen, Scott and Seymour imply the classical ErdĆsâHajnal conjecture. In this note, we prove that these three conjectures are in fact equivalent, extending several previous particular results in this direction by Fox, Nguyen ...
Matija BuciÄ, Jacob Fox, Huy Tuan Pham
wiley +1 more source
Directed hypergraph neural network [PDF]
To deal with irregular data structure, graph convolution neural networks have been developed by a lot of data scientists. However, data scientists just have concentrated primarily on developing deep neural network method for un-directed graph.
Tran, Linh Hoang, Tran, Loc Hoang
core
Noâ(k+1)$(k+1)$âinâline problem for large constant k$k$
Abstract How many points can be placed in an nĂn$n\times n$ grid so that every (affine) line contains at most k$k$ points? We prove that for n⩟k⩟1037$n \geqslant k \geqslant 10^{37}$ the maximum number of points is exactly kn$kn$. Our proof builds on the recent work of KovĂĄcs, Nagy and SzabĂł (who proved an analogous result when k$k$ is at least about ...
Alexandr Grebennikov, Matthew Kwan
wiley +1 more source
Assigning entities to teams as a hypergraph discovery problem
Assigning agents to teams under strict task and effort constraints is crucial in business, science, and engineering, where disruptions can cause significant losses.
Guilherme Ferraz de Arruda +5 more
doaj +1 more source
Cross-modal Hypergraph Optimisation Learning for Multimodal Sentiment Analysis [PDF]
Sentiment expressions are multimodal,and more accurate emotions can be derived through multiple modalities such as verbal,audio,and visual.Studying the interactions among modalities can effectively improve the accuracy of multimodal sentiment analysis ...
JIANG Kun, ZHAO Zhengpeng, PU Yuanyuan, HUANG Jian, GU Jinjing, XU Dan
doaj +1 more source
Bounded diameter monochromatic component covers
Abstract Ryser conjectured that every r$r$âedgeâcoloured complete graph can be covered by râ1$r-1$ monochromatic trees. Motivated by a question of Austin in analysis, MiliÄeviÄ predicted something stronger â that every r$r$âedgeâcoloured complete graph can be covered by râ1$r-1$ monochromatic trees of bounded diameter.
Alexey Pokrovskiy
wiley +1 more source

