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Found 3 papers, 1 papers with code
PROMPT-SAW: Leveraging Relation-Aware Graphs for Textual Prompt Compression
Large language models (LLMs) have shown exceptional abilities for multiple different natural language processing tasks.
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
The comprehensive experimental results demonstrate the superiority of MTNet over ten state-of-the-art next POI recommendation models across three real-world LBSN datasets, substantiating the efficacy of time slot preference learning facilitated by Mobility Tree.
3D Dental model segmentation with graph attentional convolution network
We have evaluated our network on a real-patient dataset of dental models acquired through 3D intraoral scanners, and experimental results show that our method outperforms state-of-the-art deep learning methods for 3D shape segmentation.
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