Results 91 to 100 of about 34,680 (295)
Cliques of Graph Convolutional Networks for Recommendation
Graph neural networks have become a popular technique for collaborative filtering. However, most related work is based on user-item bipartite graphs, which can generate a large amount of noise due to the broad and elusive interests of users.
Zhenye Pan, Yahong Chen
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Clique Graphs and Edge-clique graphs
AbstractNot every edge-clique graph is a clique graph. 1 IntroductionLet Gbe a graph. The clique graph of G, K(G), is the intersection graph of thefamily of all maximal cliques of G. The edge-clique graph of G, K e (G), is theone whose vertices are the edges of G, two vertices being adjacent in K e (G),when the corresponding edges of G belong to a same
openaire +1 more source
R ( 5 , 5 ) ≤ 46 $R(5,5)\le 46$
ABSTRACT We prove that the Ramsey number R ( 5 , 5 ) $R(5,5)$ is less than or equal to 46. The proof uses a combination of linear programming and checking a large number of cases by computer. All of the computational parts of the proof were independently implemented by both authors, with consistent results.
Vigleik Angeltveit, Brendan D. McKay
wiley +1 more source
New Reality – New Problems. Financial Crime in Greater Poland in the Years 1945-1970
Systemic transformation in Poland after the Second World War led to deep transformations within the economy. It did not, however, change the way people thought.
Stanisław Jankowiak
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Disrupting the Chain of Displaced Aggression: A Review and Agenda for Future Research
ABSTRACT Displaced aggression refers to instances in which a person redirects their harm‐doing behavior from a primary to a secondary, substitute target. Since the publication of the first empirical article in 1948, there has been a noticeable surge in research referencing this theory in both management and psychology journals.
Constantin Lagios +4 more
wiley +1 more source
Graph Theoretic and Pearson Correlation-Based Discovery of Network Biomarkers for Cancer
Two graph theoretic concepts—clique and bipartite graphs—are explored to identify the network biomarkers for cancer at the gene network level.
Raihanul Bari Tanvir +4 more
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Community Detection in Complex Networks via Clique Conductance
Network science plays a central role in understanding and modeling complex systems in many areas including physics, sociology, biology, computer science, economics, politics, and neuroscience.
Zhenqi Lu, Johan Wahlström, A. Nehorai
semanticscholar +1 more source
ABSTRACT Subgroups are dynamic entities evolving constantly in response to changing contexts and time. Although scholars from both the attribute and the network views have acknowledged that subgroups are inherently complex and fluid, research in these traditions has remained bifurcated, with limited efforts to integrate the two perspectives to more ...
Jinhee Moon +3 more
wiley +1 more source
On self-clique graphs with given clique sizes, II
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chia, G.L., Ong, Poh-Hwa
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ABSTRACT Professional disposition evaluation continues to require attention from counselor educators and supervisors. In addition, the ways in which professional disposition evaluation is conceptualized by those in evaluative positions are lacking in counseling literature.
Allison Levine +2 more
wiley +1 more source

