Results 41 to 50 of about 2,525,419 (350)

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2023
Credit card fraud incurs a considerable cost for both cardholders and issuing banks. Contemporary methods apply machine learning-based classifiers to detect fraudulent behavior from labeled transaction records.
Sheng Xiang   +7 more
semanticscholar   +1 more source

Summarizing Labeled Multi-graphs

open access: yes, 2023
17 pages, 8 figures, 4 ...
Berberidis, Dimitris   +2 more
openaire   +2 more sources

A Note on 1-Edge Balance Index Set [PDF]

open access: yes, 2012
A graph labeling is an assignment of integers to the vertices or edges or both, subject to certain conditions. Varieties of graph labeling have been investigated by many authors [2], [3] [5] and they serve as useful models for broad range of ...
Chandrashekar Adiga,   +2 more
core   +1 more source

RelTR: Relation Transformer for Scene Graph Generation [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Different objects in the same scene are more or less related to each other, but only a limited number of these relationships are noteworthy. Inspired by Detection Transformer, which excels in object detection, we view scene graph generation as a set ...
Yuren Cong, M. Yang, B. Rosenhahn
semanticscholar   +1 more source

Odd Fibonacci Stolarsky-3 Mean Labeling of Some Special Graphs

open access: yesRatio Mathematica, 2022
Let G be a graph with p vertices and q edges and an injective function  where each  is a odd Fibonacci number and the induced edge labeling  are defined by and all these edge labeling are distinct is called Odd Fibonacci Stolarsky-3 Mean Labeling.
M Sree Vidya, S.S Sandhya
doaj   +1 more source

Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning [PDF]

open access: yesInternational Joint Conference on Artificial Intelligence, 2021
Graph representation learning plays a vital role in processing graph-structured data. However, prior arts on graph representation learning heavily rely on labeling information. To overcome this problem, inspired by the recent success of graph contrastive
Ming Jin   +5 more
semanticscholar   +1 more source

On labeled graph $C^*$-algebras

open access: yesRocky Mountain Journal of Mathematics, 2020
Given a directed graph $E$ and a labeling $\mathcal{L}$, one forms the labeled graph $C^*$-algebra by taking a weakly left--resolving labeled space $(E, \mathcal{L}, \mathcal{B})$ and considering a universal generating family of partial isometries and projections.
Banjade, Debendra P., Ephrem, Menassie
openaire   +4 more sources

L(2,1)—labeling of the bracelet graph

open access: yesJournal of Hebei University of Science and Technology, 2018
In order to better study the channel assignment problem, a function from the vertex set to the set of all nonnegative integers is generated, that is the L(2,1)—labeling of a graph. Let the least label be zero, the L(2,1)—labeling number of a graph is the
Haiping LI, Ying YANG
doaj   +1 more source

-labeling of supersubdivided connected graph plus an edge

open access: yesAKCE International Journal of Graphs and Combinatorics, 2020
Rosa, in his classical paper (Rosa, 1967) introduced a hierarchical series of labelings called and labeling as a tool to settle Ringel’s Conjecture which states that if is any tree with edges then the complete graph can be decomposed into copies of ...
G. Sethuraman, M. Sujasree
doaj   +1 more source

On the study of Rainbow Antimagic Coloring of Special Graphs

open access: yesCauchy: Jurnal Matematika Murni dan Aplikasi, 2023
Let  be a connected graph with vertex set  and edge set . The bijective function  is said to be a labeling of graph where  is the associated weight for edge .
Dafik Dafik   +3 more
doaj   +1 more source

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