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Found 5 papers, 2 papers with code
HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System
HearHere facilitates the key processes of news information consumption through two visualizations.
Solvent: A Framework for Protein Folding
We hope that Solvent will increase the reliability and consistency of proposed models and give efficiency in both speed and costs, resulting in acceleration on protein folding modeling research.
KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction
Motivated by this, in this work, we conduct a user study to investigate important factors in political stance prediction, and observe that the context and tone of a news article (implicit) and external knowledge for real-world entities appearing in the article (explicit) are important in determining its political stance.
Extremal density for sparse minors and subdivisions
We prove an asymptotically tight bound on the extremal density guaranteeing subdivisions of bounded-degree bipartite graphs with a mild separability condition.
Combinatorics 05C83, 05C35
Catalyst design using actively learned machine with non-ab initio input features towards CO2 reduction reactions
In conventional chemisorption model, the d-band center theory (augmented sometimes with the upper edge of d-band for imporved accuarcy) plays a central role in predicting adsorption energies and catalytic activity as a function of d-band center of the solid surfaces, but it requires density functional calculations that can be quite costly for large scale screening purposes of materials.
