1 citations · 1 across the 5 of their papers we have counts for
5 papers
From Node2Vec to GPT-based GraphRAG: scientific impact prediction across graph and language models
Adilson Vital, Filipi N. Silva, Diego R. Amancio
Identifying which newly published scientific papers are likely to become highly cited is important for prioritizing research attention, supporting editorial decisions, and guiding…
Recovering link-weight structure in complex networks with weight-aware random walks
Adilson Vital, Filipi N. Silva, Diego R. Amancio
Using edge weights is essential for modeling real-world systems where links possess relevant information, and preserving this information in low-dimensional representations is rele…
Predicting citation impact of research papers using GPT and other text embeddings
Adilson Vital, Filipi N. Silva, Osvaldo N. Oliveira +1
The impact of research papers, typically measured in terms of citation counts, depends on several factors, including the reputation of the authors, journals, and institutions, in a…
Comparing biased random walks in graph embedding and link prediction
Adilson Vital, Filipi N. Silva, Diego R. Amancio
Random walks find extensive application across various complex network domains, including embedding generation and link prediction. Despite the widespread utilization of random wal…
A comparative analysis of local network similarity measurements: application to author citation networks
Adilson Vital, Diego R. Amancio
Understanding the evolution of paper and author citations is of paramount importance for the design of research policies and evaluation criteria that can promote and accelerate sci…