Abstract: Graph Neural Networks (GNNs) are widely used across fields, with inductive learning replacing transductive learning as the mainstream training paradigm due to its superior memory efficiency, ...

Abstract: While existing graph clustering methods can only be oriented to classical graph data, this study, as the first attempt, focuses on the proposed symmetric-tensor based graph and its ...

Many successful machine learning models for molecular property prediction rely on Lewis structure representations, commonly encoded as SMILES strings. However, a key limitation arises with molecules ...

With Washington, D.C., gridlocked over the government shutdown, Transportation Secretary Sean Duffy took his case to social media Friday, sharing a viral meme video that uses the "f--- around and find ...

White House Deputy Press Secretary Abigail Jackson sparked a bevy of mockery over the weekend when she shared a graph from Axios highlighting the increase of left-wing violence this year, but that ...

AI for Science Institute (CUAISci), Cornell University, Ithaca, New York 14853, United States Systems Engineering, College of Engineering, Cornell University, Ithaca, New York 14853, United States AI ...