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Found 2 papers, 1 papers with code
An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm
A graph embedding is an emerging approach that can represent a graph structure with a fixed-length low-dimensional vector.
Addressing Gap between Training Data and Deployed Environment by On-Device Learning
This article introduces a neural network based on-device learning (ODL) approach to address this issue by retraining in deployed environments.
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