Heterogeneous link prediction based on multi relational community information. - T. Jaya Lakshmi; S. Durga Bhavani (COMSNETS, 2014)

Enhancement to community-based multi-relational link prediction using co-occurrence probability feature. - T. Jaya Lakshmi; S. Durga Bhavani (CODS, 2015)

Link Prediction in Temporal Heterogeneous Networks. - T. Jaya Lakshmi; S. Durga Bhavani (PAISI, 2017)

Temporal probabilistic measure for link prediction in collaborative networks. - T. Jaya Lakshmi; S. Durga Bhavani (Appl. Intell., 2017)

Link Prediction Measures in Various Types of Information Networks: A Review. - T. Jaya Lakshmi; S. Durga Bhavani (ASONAM, 2018)

Distributed Mining of High Utility Time Interval Sequential Patterns with Multiple Minimum Utility Thresholds. - Sumalatha Saleti; Jaya Lakshmi Tangirala; Thirumalaisamy Ragunathan (IEA/AIE (1), 2021)

Mining High Utility Time Interval Sequences Using MapReduce Approach: Multiple Utility Framework. - Sumalatha Saleti; T. Jaya Lakshmi; Mohd Wazih Ahmad (IEEE Access, 2022)

Classifying Human Activities using Machine Learning and Deep Learning Techniques. - Sanku Satya Uday; Satti Thanuja Pavani; T. Jaya Lakshmi; Rohit Chivukula (CoRR, 2022)

A secure IoT-based micro-payment protocol for wearable devices. - Sriramulu Bojjagani; P. V. Venkateswara Rao; Dinesh Reddy Vemula; B. Ramachandra Reddy; T. Jaya Lakshmi (Peer-to-Peer Netw. Appl., 2022)

Link Prediction in Complex Networks: An Empirical Review. - Y. V. Nandini; T. Jaya Lakshmi; Murali Krishna Enduri (FICTA (2), 2023)

A Study on Influence Maximization in Complex Networks. - Chennapragada V. S. S. Mani Saketh; Kakarla Pranay; Akhila Susarla; Dukka Ravi Ram Karthik; T. Jaya Lakshmi; Y. V. Nandini (FICTA (2), 2023)

Classifying Human Activities Using Machine Learning and Deep Learning Techniques. - Satya Uday Sanku; Satti Thanuja Pavani; T. Jaya Lakshmi; Y. V. Nandini (FICTA (2), 2023)

Heart Disease Prediction Using Novel Quine McCluskey Binary Classifier (QMBC). - Ramdas Kapila; Thirumalaisamy Ragunathan; Sumalatha Saleti; T. Jaya Lakshmi; Mohd Wazih Ahmad (IEEE Access, 2023)

Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations. - Srilatha Tokala; Murali Krishna Enduri; T. Jaya Lakshmi; Hemlata Sharma (Entropy, 2023)

Community Detection and Centrality Measures in Alzheimer's Disease Network Analysis. - Yaswanth Chowdary Thotakura; Kalyan Kumar Doppalapudi; Srinivas Reddy Gopavarapu; Geetha Siva Srinivas Gollapalli; Jaya Lakshmi Tangirala (ICCCNT, 2024)

Extending Graph-Based LP Techniques for Enhanced Insights Into Complex Hypergraph Networks. - Y. V. Nandini; T. Jaya Lakshmi; Murali Krishna Enduri; Hemlata Sharma; Mohd Wazih Ahmad (IEEE Access, 2024)

Empowering Quality of Recommendations by Integrating Matrix Factorization Approaches With Louvain Community Detection. - Srilatha Tokala; Murali Krishna Enduri; T. Jaya Lakshmi; Ashu Abdul; Jenhui Chen (IEEE Access, 2024)

COVID-19 Literature Mining and Retrieval Using Text Mining Approaches. - Satya Uday Sanku; Satti Thanuja Pavani; T. Jaya Lakshmi; Rohit Chivukula (SN Comput. Sci., 2024)

Link Prediction in Complex Networks Using Average Centrality-Based Similarity Score. - Y. V. Nandini; T. Jaya Lakshmi; Murali Krishna Enduri; Hemlata Sharma (Entropy, 2024)

Link prediction approach to recommender systems. - T. Jaya Lakshmi; S. Durga Bhavani (Computing, 2024)

Link Prediction in Complex Hyper-Networks Leveraging HyperCentrality. - Y. V. Nandini; T. Jaya Lakshmi; Murali Krishna Enduri; Mohd Zairul Mazwan Bin Jilani (IEEE Access, 2025)