CC-DOMINATION IN GRAPHSK., PriyaV., Anil KumarPalestine Journal of Mathematics
I’m working in bio/cheminformatics - more specifically using biological knowledge graphs to generate testable hypotheses for drug discovery and precision medicine. Here’s some more details about me and my research. You can download my résumé (single page), CV, or see my ORCiD page at https...
The aim of this paper is to study about the number of cc-dominating sets and to introduce the concept of cc-domination polynomial for simple finite undirected graphs. For a graph G on n vertices possessing dc(G, i) cc-dominating sets of cardinality i, the cc-domination polynomial is defin...
It also includes many self-supervised learning methods on graphs. BTW, we are glad to announce that we will give a tutorial on KDD 2021 in August. Please see this link for more details. 🎉 CogDL supports GNN models with Mixture of Experts (MoE). You can install FastMoE and try MoE ...
We present a distributed MapReduce-based algorithm, called CCFinder, to efficiently compute clustering coefficient in very big graphs. CCFinder is executed on Apache Spark, a scalable data processing platform. It efficiently detects existing triangles through using our proposed data structure, called ...
在图论领域,有一本著名的教材《Graphs & Digraphs》,由Gary Chartrand,Linda Lesniak和Ping Zhang合著。这本书是图论领域的经典之作,能够帮助读者更自然地理解和掌握图论的知识。 书籍简介 Graphs & Digraphs 书名:Graphs & Digraphs 作者:Gary Chartrand,...
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CogDL: An Extensive Toolkit for Deep Learning on Graphs (Graph Neural Networks, GNN) - cc-up/cogdl