2 papers
cs.CL2024
GuideWalk: A Novel Graph-Based Word Embedding for Enhanced Text Classification
Sarmad N. Mohammed, Semra Gündüç
One of the prime problems of computer science and machine learning is to extract information efficiently from large-scale, heterogeneous data. Text data, with its syntax, semantics…
cs.LG2022
TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding
Sarmad N. Mohammed, Semra Gündüç
In this work, Transition Probability Matrix (TPM) is proposed as a new method for extracting the features of nodes in the graph. The proposed method uses random walks to capture th…