Evaluating aggregators and sampling strategies in GraphSage for dynamic link prediction in keyword co-occurrence network
Bibliographic Data
| ID | 21443445 |
|---|---|
| Authors | Anab Batool Kazmi (0009-0008-0302-1225, National University of Modern Languages, corresponding author), Muhammad Arshad Islam (0000-0002-7503-5086, National University of Computer and Emerging Sciences) |
| Year | 2026 |
| Volume | 131 |
| Issue | 5 |
| Pages | 3273-3317 |
| Publication date | 2026-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-026-05631-z |
| OpenAlex | W7155651154 |
| Language | EN |
| References cited | 39 |
Link (geometry) · Link analysis · Network analysis · Sample (material) · Sampling (signal processing) · Advanced Graph Neural Networks · Complex Network Analysis Techniques · Graph Theory and Algorithms
An Introduction to Statistical Learning
Networks
Introduction to Information Retrieval
An introduction to ROC analysis
The link‐prediction problem for social networks
The relationship between Precision-Recall and ROC curves
ArnetMiner
An algorithm for suffix stripping
Science mapping software tools
Term-weighting approaches in automatic text retrieval
A Comprehensive Survey on Graph Neural Networks
Node2vec
Status and trends of socioscientific issues in educational literature
Return migration of German-affiliated researchers
The aging effect in evolving scientific citation networks
A Set of Measures of Centrality Based on Betweenness
| Highly cited | No |
|---|