Muhammad Ifte Islam

Orcid: 0009-0008-1293-400X

According to our database1, Muhammad Ifte Islam authored at least 14 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Cross-attentive Cohesive Subgraph Embedding to Mitigate Oversquashing in GNNs.
CoRR, March, 2026

2025
MCL-DMD: Multi-modal Contrastive Learning for Drug-Microbe-Disease Association Prediction.
Proceedings of the 16th ACM International Conference on Bioinformatics, 2025

2024
DDI Prediction With Heterogeneous Information Network - Meta-Path Based Approach.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach.
CoRR, 2024

DyGCL: Dynamic Graph Contrastive Learning For Event Prediction.
CoRR, 2024

Tackling Oversmoothing in GNN via Graph Sparsification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

2023
Hypergraph Classification via Persistent Homology.
CoRR, 2023

MPool: Motif-Based Graph Pooling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Seq-HyGAN: Sequence Classification via Hypergraph Attention Network.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Predicting Drug-drug Interactions Using Heterogeneous Graph Attention Networks.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022
EnD: Enhanced Dedensification for Graph Compressing and Embedding.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
Predicting Drug-Drug Interactions Using Meta-path Based Similarities.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

Drug Abuse Detection in Twitter-sphere: Graph-Based Approach.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Proximity-Based Compression for Network Embedding.
Frontiers Big Data, 2020


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