Example of transition weights for the Node2Vec over a simple subgraph.

Example of transition weights for the Node2Vec over a simple subgraph.

<p>We can see the current blue node in the iteration <i>i</i><sub><i>t</i></sub>, being possible to return to the previous visited yellow node <i>i</i><sub><i>t</i>−1</sub>, or continue an outward walk through the green on...

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Bibliographic Details
Main Author:	Adilson Vital Jr. (20135941) (author)
Other Authors:	Filipi Nascimento Silva (8599911) (author), Diego Raphael Amancio (8599914) (author)
Published:	2024
Subjects:	Genetics Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified varied behaviors inherent empirical findings demonstrate traditional random walk avoiding random walk comparing random walks including embedding generation random walks embedding generation graph embedding widespread utilization unknown mechanisms true self subsequent effects sequences governed sequence data results suggest resilient recovery precise impact node2vec algorithm link prediction diverse adaptations distinct biases data generated comparative analysis also investigated
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Summary:	<p>We can see the current blue node in the iteration <i>i</i><sub><i>t</i></sub>, being possible to return to the previous visited yellow node <i>i</i><sub><i>t</i>−1</sub>, or continue an outward walk through the green ones.</p>

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