A Survey on Bloom Filter for Multiple Sets. - Lilapati Waikhom; Sabuzima Nayak; Ripon Patgiri (CoMSO, 2020)

Graph Neural Networks: Methods, Applications, and Opportunities. - Lilapati Waikhom; Ripon Patgiri (CoRR, 2021)

Chapter Three - An empirical investigation on BigGraph using deep learning. - Lilapati Waikhom; Ripon Patgiri (Adv. Comput., 2023)

A survey of graph neural networks in various learning paradigms: methods, applications, and challenges. - Lilapati Waikhom; Ripon Patgiri (Artif. Intell. Rev., 2023)

Swaragram: A software toolbox for musical feature of Indian music. - Yeshwant Singh; Lilapati Waikhom; Anupam Biswas (Softw. Impacts, 2023)

PO-GNN: Position-observant inductive graph neural networks for position-based prediction. - Lilapati Waikhom; Yeshwant Singh; Ripon Patgiri (Inf. Process. Manag., 2023)

Dynamic temporal position observant graph neural network for traffic forecasting. - Lilapati Waikhom; Ripon Patgiri; Dolendro Singh Laiphrakpam (Appl. Intell., 2023)

A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications. - Sabuzima Nayak; Ripon Patgiri; Lilapati Waikhom; Arif Ahmed (Digit. Commun. Networks, 2024)

Visually meaningful cipher data concealment. - Zeba Shamsi; Lilapati Waikhom; Anish Kumar Saha; Ripon Patgiri; M. Franckie Singha; Dolendro Singh Laiphrakpam (Digit. Signal Process., 2024)