1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CG2023
A Scalable Method for Readable Tree Layouts
Kathryn Gray, Mingwei Li, Reyan Ahmed +4
Large tree structures are ubiquitous and real-world relational datasets often have information associated with nodes (e.g., labels or other attributes) and edges (e.g., weights or…
cs.LG2021★ 1 cited
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods
Md. Khaledur Rahman, Ariful Azad
Graph representation learning is a fast-growing field where one of the main objectives is to generate meaningful representations of graphs in lower-dimensional spaces. The learned…
cs.SI2016
NEDindex: A new metric for community structure in networks
Md. Khaledur Rahman
There are several metrics (Modularity, Mutual Information, Conductance, etc.) to evaluate the strength of graph clustering in large graphs. These metrics have great significance to…