Updated the journal paper bibliography

Updated the journal paper bibliography

index.html

@@ -145,19 +145,19 @@ <h1 id="curr-work">How does Bayan compare with other community detection methods
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-		<h1 id="curr-work">Interested to learn more? Check out our three manuscripts below.</h1>
+		<h1 id="curr-work">Interested to learn more? Check out our three peer-reviewed papers below.</h1>
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+				<li>
+					Samin Aref, Mahdi Mostajabdaveh, and Hriday Chheda. "Heuristic modularity maximization algorithms for community detection rarely return an optimal partition or anything similar." in Computational Science - ICCS 2023, LNCS 10476, Springer, 2023 <a href="https://doi.org/10.1007/978-3-031-36027-5_48">doi.org/10.1007/978-3-031-36027-5_48</a> <a href="https://arxiv.org/pdf/2302.14698">Preprint</a>
+				</li>
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 					Samin Aref and Mahdi Mostajabdaveh. "Analyzing modularity maximization in approximation, heuristic, and graph neural network algorithms for community detection." Journal of Computational Science, 2024
 					<a href="https://doi.org/10.1016/j.jocs.2024.102283">doi.org/10.1016/j.jocs.2024.102283</a>
 					<a href="https://arxiv.org/pdf/2310.10898">Preprint</a>
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-					Samin Aref, Mahdi Mostajabdaveh, and Hriday Chheda. "Heuristic modularity maximization algorithms for community detection rarely return an optimal partition or anything similar." in Computational Science - ICCS 2023, LNCS 10476, Springer, 2023 <a href="https://doi.org/10.1007/978-3-031-36027-5_48">doi.org/10.1007/978-3-031-36027-5_48</a> <a href="https://arxiv.org/pdf/2302.14698">Preprint</a>
-				</li>
-				<li>
-					Samin Aref, Hriday Chheda, and Mahdi Mostajabdaveh. "The Bayan algorithm: detecting communities in networks through exact and approximate optimization of modularity." ArXiv, 2022 <a href="https://arxiv.org/pdf/2209.04562">Preprint</a>
+					Samin Aref, Mahdi Mostajabdaveh, and Hriday Chheda. "The Bayan algorithm: detecting communities in networks through exact and approximate optimization of modularity." Physical Review E, 2024 <a href="https://arxiv.org/pdf/2209.04562">Preprint</a>
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