This codebase is the implementation of the GNN-RNN model (AAAI 2022) for crop yield prediction in the US. GNN-RNN is the first machine learning method that embeds geographical knowledge in crop yield ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Finally, there's a plagiarism free Study Mode built right into ChatGPT that will help you set up practice quizzes and study guides. If you're learning anything, whether or not you're a full-time ...

Can you hear the cheerleaders, noisemakers and snare drums? Can you smell the grills, popcorn and crisp fall air? That means it’s once again high school football season. Western New York high schools ...

Thank you for sharing your work on GNN-RAG. I noticed that the code related to GNN-RAG + Route is not included in the repository. Would it be possible to add the implementation for this part? If ...

Abstract: The underlay access mode in dynamic spectrum access (DSA) systems permits secondary users to transmit concurrently with the primary user, provided that the cumulative interference imposed on ...

Topologically associating domains (TADs) uncovered on bulk Hi-C data are regarded as fundamental building blocks of a three-dimensional genome, and they are believed to effectively participate in the ...

A new technical paper titled “TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs” was published by researchers at University of Connecticut and University of Minnesota. “hip ...

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...

As one of the most crucial topics in the recommendation system field, Point-of-Interest (POI) recommendation aims to recommending potential interesting POIs to users. Recently, graph neural networks ...