| GraphNVP: An Invertible Flow Model for Generating Molecular Graphs K Madhawa, K Ishiguro, K Nakago, M Abe arXiv preprint arXiv:1905.11600, 2019 | 183 | 2019 |
| Active learning for node classification: An evaluation K Madhawa, T Murata Entropy 22 (10), 1164, 2020 | 33 | 2020 |
| Big data to improve urban planning R Samarajiva, S Lokanathan, K Madhawa, G Kreindler, D Maldeniya Economic and Political Weekly, 42-48, 2015 | 30 | 2015 |
| Towards robust compressed convolutional neural networks AW Wijayanto, JJ Choong, K Madhawa, T Murata 2019 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2019 | 21 | 2019 |
| A multi-armed bandit approach for exploring partially observed networks K Madhawa, T Murata Applied Network Science 4, 1-18, 2019 | 11 | 2019 |
| Dengue propagation prediction using human mobility M Abeyrathna, DA Abeygunawrdane, R Wijesundara, VB Mudalige, ... 2016 Moratuwa Engineering Research Conference (MERCon), 156-161, 2016 | 10 | 2016 |
| Metal: Active semi-supervised learning on graphs via meta-learning K Madhawa, T Murata Asian Conference on Machine Learning, 561-576, 2020 | 7 | 2020 |
| Using mobile network big data for land use classification K Madhawa, S Lokanathan, D Maldeniya, R Samarajiva Communication Policy Research South Conference, 2015 | 7 | 2015 |
| Where did you come from?: where did you go?; robust policy relevant evidence from mobile network big data D Maldeniya, A Kumarage, S Lokanathan, G Kreindler, K Madhawa LIRNEasia, Colombo, LK, 2015 | 7 | 2015 |
| Graphnvp: an invertible flow model for generating molecular graphs (2019) K Madhawa, K Ishiguro, K Nakago, M Abe arXiv preprint arXiv:1905.11600, 1905 | 5 | 1905 |
| Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory polysomnography: A … T Svensson, K Madhawa, NT Hoang, U Chung, AK Svensson Sleep Medicine 115, 251-263, 2024 | 4 | 2024 |
| Active Learning on Graphs via Meta Learning K Madhawa, T Murata Graph Representation Learning and Beyond Workshop, ICML 2020, 2020 | 4 | 2020 |
| GraphNVP: An Invertible Flow-Based Model for Generating Molecular Graphs K Madhawa, K Ishiguro, K Nakago, M Abe | 4 | 2019 |
| Robustness of Compressed Convolutional Neural Networks K Madhawa, CJ Jin, AW Wijayanto, T Murata 2018 IEEE International Conference on Big Data (Big Data), 4829-4836, 2018 | 4* | 2018 |
| A robust algorithm for determining the newsworthiness of microblogs PKK Madhawa, AS Atukorale 2015 Fifteenth International Conference on Advances in ICT for Emerging …, 2015 | 4 | 2015 |
| Exploring Partially Observed Networks with Nonparametric Bandits K Madhawa, T Murata International Conference on Complex Networks and their Applications, 158-168, 2018 | 3 | 2018 |
| Understanding communities using mobile network big data K Madhawa, R SAMARAJIVA, S LOKANATHAN, D MALDENIYA | 3 | 2015 |
| Deep Geometric Framework to Predict Antibody-Antigen Binding Affinity NS Bandara, D Premathilaka, S Chandanayake, S Hettiarachchi, ... bioRxiv, 2024.06. 09.598103, 2024 | 1 | 2024 |
| Land use classification using call detail records K Madhawa, S Lokanathan, D Maldeniya, R Samarajiva NetMob 2015, 2015 | 1 | 2015 |
| Image diagnosis support device, image diagnosis support method, and image diagnosis support program Kaushalya Madhawa, Yuu Jinnai, Takashi Azuma JP Patent JP 2023-178791 A, 2023 | | 2023 |
Katsuhiko IshiguroPreferred networksVerified email at ieee.org
