Looking for help with today's New York Times Pips? We'll walk you through today's puzzle and help you match dominoes to tiles ...

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Abstract: Recently, in the study of graph matching problems, deep learning has gained increasing attention and rapid development. Although GCN is widely used in the vertex feature extraction stage, ...

Abstract: Class prototype construction and matching are core aspects of few-shot action recognition. Previous methods mainly focus on designing spatiotemporal relation modeling modules or complex ...

This repository includes the codes for the VLDB 2024 paper RoarGraph. This code builds upon the NSG repo and incorporates other open-source implementations. The main branch is the codebase of the ...

We propose MemGraph, a method that augments the patent matching capabilities of LLMs by incorporating a memory graph derived from their parametric memory. Specifically, MemGraph prompts LLMs to ...