This paper describes an LLM-driven graph neural architecture search toolkit whose performance claims are weakened by best-of-three reporting, unavailable code, and a false 'first work' statement.
Graph neural architecture search with gpt-4
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
This paper describes an LLM-driven graph neural architecture search toolkit whose performance claims are weakened by best-of-three reporting, unavailable code, and a false 'first work' statement.