Graph-Tech USA is introducing the RFID-Runner, a next-generation UHF encode-and-print system designed to improve speed, efficiency, and cost-effectiveness in RFID label production. The RFID-Runner is ...
Abstract: Graph neural networks (GNNs) witness impressive performances on homophilic graphs characterized by a higher number of edges connecting nodes of similar class labels. A decline in the ...
Abstract: Polarimetric synthetic aperture radar (PolSAR) image change detection (CD) aims to accurately analyze the difference and detect changes in PolSAR images. Recently, graph transformer (GT), ...
Hi, I'm currently working on re-implementing the GraphRAG paper and had some questions regarding the construction of the lowest-level graph from document chunks. How exactly are entities and relations ...
Document-level Role Filler Extraction exhibits a wide range of application value in natural language processing, including information retrieval, article summarization and trends analysis of world ...
Advanced Machine Learning models called Graph Neural Networks (GNNs) process and analyze graph-structured data. They have proven quite successful in a number of applications, including recommender ...
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