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Muhammad Ifte Khairul Islam
Muhammad Ifte Khairul Islam
Dept. of Computer Science, Georgia State University, GA,USA
Verified email at student.gsu.edu
Title
Cited by
Cited by
Year
Predicting drug-drug interactions using meta-path based similarities
F Tanvir, MIK Islam, E Akbas
2021 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2021
132021
Bangla spell checking and correction using edit distance
MIK Islam, RI Meem, FBA Kasem, A Rakshit, MT Habib
2019 1st International Conference on Advances in Science, Engineering and …, 2019
132019
Drug abuse detection in twitter-sphere: Graph-based approach
KM Saifuddin, MIK Islam, E Akbas
2021 IEEE International Conference on Big Data (Big Data), 4136-4145, 2021
102021
Proximity-based compression for network embedding
MI Islam, F Tanvir, G Johnson, E Akbas, ME Aktas
Frontiers in big Data 3, 608043, 2021
62021
An investigative design of optimum stochastic language model for bangla autocomplete
MAAK Md. Iftakher Alam Eyamin, Md. Tarek Habib, Muhammad Ifte Khairul Islam ...
Indonesian Journal of Electrical Engineering and Computer Science 13 (2 …, 2018
6*2018
Seq-hygan: Sequence classification via hypergraph attention network
KM Saifuddin, C May, F Tanvir, MIK Islam, E Akbas
Proceedings of the 32nd ACM International Conference on Information and …, 2023
52023
A context-sensitive approach to find optimum language model for automatic Bangla spelling correction
MIK Islam, MT Habib, MS Rahman, MR Rahman, F Ahmed
International Journal of Advanced Computer Science and Applications 9 (11), 2018
52018
Predicting drug-drug interactions using heterogeneous graph attention networks
F Tanvir, KM Saifuddin, M Ifte Khairul Islam, E Akbas
Proceedings of the 14th ACM International Conference on Bioinformatics …, 2023
22023
MPool: motif-based graph pooling
MIK Islam, M Khanov, E Akbas
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 105-117, 2023
22023
Hypergraph Classification via Persistent Homology
ME Aktas, T Nguyen, R Riza, MI Islam, E Akbas
arXiv preprint arXiv:2306.11484, 2023
2023
EnD: Enhanced Dedensification for Graph Compressing and Embedding
T Hossain, E Akbas, MIK Islam
2022 IEEE International Conference on Data Mining Workshops (ICDMW), 674-681, 2022
2022
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Articles 1–11