Lilapati Waikhom

According to our database, Lilapati Waikhom authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Dynamic temporal position observant graph neural network for traffic forecasting.

Lilapati Waikhom, Ripon Patgiri, Dolendro Singh Laiphrakpam

Appl. Intell., October, 2023

PO-GNN: Position-observant inductive graph neural networks for position-based prediction.

Lilapati Waikhom, Yeshwant Singh, Ripon Patgiri

Inf. Process. Manag., May, 2023

Swaragram: A software toolbox for musical feature of Indian music.

Yeshwant Singh, Lilapati Waikhom, Anupam Biswas

Softw. Impacts, March, 2023

A survey of graph neural networks in various learning paradigms: methods, applications, and challenges.

Lilapati Waikhom, Ripon Patgiri

Artif. Intell. Rev., 2023

Chapter Three - An empirical investigation on BigGraph using deep learning.

Lilapati Waikhom, Ripon Patgiri

Adv. Comput., 2023

2021

Graph Neural Networks: Methods, Applications, and Opportunities.

Lilapati Waikhom, Ripon Patgiri

CoRR, 2021

A Review on Edge Analytics: Issues, Challenges, Opportunities, Promises, Future Directions, and Applications.

Sabuzima Nayak, Ripon Patgiri, Lilapati Waikhom, Arif Ahmed

CoRR, 2021

2020

A Survey on Bloom Filter for Multiple Sets.

Lilapati Waikhom, Sabuzima Nayak, Ripon Patgiri

Proceedings of the Modeling, Simulation and Optimization, 2020