On the node classi-fication task, our results also indicate the superiorperformance of our model on dense graph with in-ductive setting. All these results indicate that the pro-posed topological modification method is a promis-ing strategy for improving the current graph neuralnetwork models. ...
Several graph polynomials are defined in order to represent a graph. These polynomials are invariants of graph. Important examples of graph polynomials are vertex cover polynomials, and chromatic polynomials. This paper focuses on star polynomials for difference graphs. A star is a kind of tree. ...
As a natural generalization of chromatic number of a graph, the circular chromatic number of graphs (or the star chromatic number) was introduced by A.Vinc... Z Ma,J Cai - 《Mathematics》 被引量: 5发表: 2009年 On the Total Graph of Mycielski Graphs, Central Graphs and Their Covering ...
Stargraph needs to build a set of indices to be able to answer your queries. Ensure that Stargraph is listening on port 8917 and issue the following command usingcURLor any other HTTP client you like. At this point Stargraph will use internet connection to fetch the DBpedia dumps. ...
Ramsey Numbers on a Union of Identical Stars Versus a Small Cycle Summary: The Ramsey number for a graph $G$ versus a graph $H$, denoted by $R(G,H)$, is the smallest positive integer $n$ such that for any graph $F$ of ord... Hasmawati,H Assiyatun,ET Baskoro,... - Computati...
two minimum deadlock-free routing restrictions on star graph are presented.Then the deadlock-free behavioral routing algorithm based on these two restrictions is presented.Finally,the paper proves that the deadlock-free routing restrictions presented in reference[4] is a specific example of the ...
A note on star coloring of central graph of bipartite graph and corona graph of complete graph with path and cycle V. J. Vernold,M. Venkatachalam Keywords: central graph , corona graph , star coloring Full-Text Cite this paper Add to My Lib Abstract: In this paper, we find the ...
On the CDC STAR-100 all data points corresponding to a plane must be stored in contiguous locations if advantage is to be taken of the powerful pipeline hardware of the machine. This means that derivatives in one direction are obtained very efficiently while derivatives in the orthogonal ...
"GraphLab: A New Parallel Framework for Machine Learning." Conference on Uncertainty in Artificial Intelligence (UAI). Li, Kevin; Gibson, Charles; Ho, David; Zhou, Qi; Kim, Jason; Buhisi, Omar; Brown, Donald E.; Gerber, Matthew, "Assessment of machine learning algorithms in cloud ...
DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection, the 2021 International Joint Conference on Neural Networks (IJCNN 2021) A Context-Sensitive System for Restructured Cloning Vulnerability Detection in Solidity Smart Contract (Journal of Cyber Security) ...