8 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…
Auditing automated research assessment: an interpretable machine learning approach to validate funding criteria
Rafael P. Gouveia, Thiago C. Silva, Diego R. Amancio
This paper empirically examines the practical validity of the official evaluation criteria underpinning the Research Productivity (PQ) Grant framework, as governed by the Brazilian…
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…
Leveraging GANs for citation intent classification and its impact on citation network analysis
Davi A. Bezerra, Filipi N. Silva, Diego R. Amancio
Citations play a fundamental role in the scientific ecosystem, serving as a foundation for tracking the flow of knowledge, acknowledging prior work, and assessing scholarly influen…
Graph machine learning for flight delay prediction due to holding manouver
Jorge L. Franco, Manoel V. Machado Neto, Filipe A. N. Verri +1
Flight delays due to holding maneuvers are a critical and costly phenomenon in aviation, driven by the need to manage air traffic congestion and ensure safety. Holding maneuvers oc…
Probing the statistical properties of enriched co-occurrence networks
Diego R. Amancio, Jeaneth Machicao, Laura V. C. Quispe
Recent studies have explored the addition of virtual edges to word co-occurrence networks using word embeddings to enhance graph representations, particularly for short texts. Whil…