Efficient Subgraph Isomorphism Finding in Large Graphs using Eccentricity and Limiting Recursive Calls

Autor: Ansari, Zubair Ali, Abulaish, Muhammad, Thoker, Irfan Rashid, Jahiruddin

The subgraph isomorphism finding problem is a well-studied problem in the field of computer science and graph theory, and it aims to enumerate all instances of a query graph in the respective data graph. In this paper, we propose an efficient method,

Externí odkaz: http://arxiv.org/abs/2312.02988

DeepCKID: A Multi-Head Attention-Based Deep Neural Network Model Leveraging Classwise Knowledge to Handle Imbalanced Textual Data

Autor: Sah, Amit Kumar, Abulaish, Muhammad

Publikováno v: In Machine Learning with Applications September 2024 17

A Novel Weighted Distance Measure for Multi-Attributed Graph

Autor: Abulaish, Muhammad, Jahiruddin

Publikováno v: Muhammad Abulaish and Jahiruddin, A Novel Weighted Distance Measure for Multi-Attributed Graph, In Proceedings of the 10th Annual ACM India Conference (COMPUTE), Bhopal, India, Nov. 16-18, 2017, pp. 1-9

Due to exponential growth of complex data, graph structure has become increasingly important to model various entities and their interactions, with many interesting applications including, bioinformatics, social network analysis, etc. Depending on th

Externí odkaz: http://arxiv.org/abs/1801.07150

Skull stripping on multimodal brain MRI scans using thresholding and morphology.

Autor: Bhat, Sajid Y., Naqshbandi, Afnan, Abulaish, Muhammad

Publikováno v: Imaging Science Journal; Jun2024, Vol. 72 Issue 4, p466-478, 13p

The role of lifelong machine learning in bridging the gap between human and machine learning: A scientometric analysis.

Autor: Abulaish, Muhammad¹ abulaish@sau.ac.in, Wasi, Nesar Ahmad¹, Sharma, Shachi¹

Publikováno v: WIREs: Data Mining & Knowledge Discovery. Mar/Apr2024, Vol. 14 Issue 2, p1-25. 25p.