Papers
Ricky Laishram, Jeremy D Wendt, Sucheta Soundarajan.
"MCS+: An Efficient Algorithm for Crawling the Community Structure in Multiplex Networks".
ACM Transactions on Knowledge Discovery from Data (TKDD).
2021.
Ricky Laishram, Pegah Hozhabrierdi, Jeremy D Wendt, Sucheta Soundarajan.
"NetProtect: Network Perturbations to Protect Nodes against Entry-Point Attack".
ACM Web Science Conference (WebSci).
2021.
Ricky Laishram, Ahmet Erdem Sariyuce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan.
"Residual Core Maximization: An Efficient Algorithm for Maximizing the Size of the k-Core".
SIAM Data Mining (SDM).
2020.
Ricky Laishram, Jeremy D. Wendt, Sucheta Soundarajan.
"Crawling the Community Structure of Multiplex Networks".
Thirty-Third AAAI Conference on Artificial Intelligence (AAAI).
2019.
Ricky Laishram, Xindi Wang.
"Understanding Music from Symbolic Representation with Higher Order Networks".
2019.
Ricky Laishram, Ahmet Erdem Sariyuce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan.
"Measuring and Improving the Core Resilience of Networks".
Proceedings of the 2018 World Wide Web Conference (WWW).
2018.
Katchaguy Areekijseree, Ricky Laishram, Sucheta Soundarajan.
"Guidelines for Online Network Crawling: A Study of Data Collection Approaches and Network Properties".
Proceedings of the 10th ACM Conference on Web Science (WebSci).
2018.
Ricky Laishram, Katchaguy Areekijseree, Sucheta Soundarajan.
"Predicted max degree sampling: Sampling in directed networks to maximize node coverage through crawling".
INFOCOM Workshop on Network Science for Communication Network (NetSciCom).
2017.
Katchaguy Areekijseree, Ricky Laishram, Sucheta Soundarajan.
"Max-node sampling: An expansion-densification algorithm for data collection".
International Conference on Big Data (IEEE Big Data).
2016.
Ricky Laishram, Katchaguy Areekijseree, Sucheta Soundarajan.
"Predicted max degree sampling: Sampling in directed networks to maximize node coverage through crawling".
International Conference on Big Data (IEEE Big Data).
2016.
Ricky Laishram, Kishan Mehrotra, Chilukuri K Mohan.
"Link Prediction in Social Networks with Edge Aging".
International Conference on Tools with Artificial Intelligence (ICTAI).
2016.
Ricky Laishram, Vir Virander Phoha.
"Curie: A method for protecting SVM Classifier from Poisoning Attack".
arXiv preprint arXiv:1606.01584.
2016.
PhD Dissertation
"The Resilience of k-Cores in Graphs".
2020.
MS Thesis
"Link Prediction in Dynamic Weighted and Directed Social Network using Supervised Learning".
2015.
Posters/Abstracts
Ricky Laishram, Sucheta Soundarajan.
"Evaluation of Community Similarity based on Hierarchical Distance".
Northeast Regional Conference on Complex Systems (NERCCS).
2018.
Ricky Laishram, Ahmet Erdem Sariyuce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan.
"Improving Core Resilience of Networks under Random Edge Deletion.".
Conference on Complex Network (CompleNet).
2018.