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            <name>Title</name>
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                <text>Book Chapter</text>
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    <name>Book Chapter</name>
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              <text>On some classes of equitable irregular graphs</text>
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              <text>Datasets; Edge labeling; Equitable irregular graph; k-equitable irregular edge labeling</text>
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              <text>Graph labeling techniques are used by data scientists to represent data points and their relationships with each other. The segregation/sorting of similar datasets/points are easily done using labeling of vertices or edges in a graph. An equitable irregular edge labeling is a function $$f: E(G) \rightarrow N$$ (not necessarily be injective) such that the vertex sums of any two adjacent vertices of $$G$$ differ by at most one, where vertex sum of a vertex is the sum of the labels under $$f$$ of the edges incident with that vertex. A graph admitting an equitable irregular edge labeling is called an equitable irregular graph (EIG). In this paper, more classes of equitable irregular graphs are presented. We further generalize the concept of equitable irregular edge labeling to $$k$$-equitable irregular edge labeling by demanding the difference of the vertex sum of adjacent vertices to be $$k \ge 1$$.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021.</text>
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              <text>Puthussery A.; Hamid I.S.</text>
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              <text>Lecture Notes in Networks and Systems, Vol-132, pp. 281-288.</text>
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              <text>Springer</text>
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              <text>2021-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-15-5309-7_30" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-15-5309-7_30&lt;/a&gt;
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          <name>Rights</name>
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              <text>Restricted Access</text>
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              <text>ISSN: 23673370</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Puthussery A., CHRIST Deemed to be University, Bengaluru, India; Hamid I.S., The Madura College, Madurai, 11, India</text>
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