K-Paths is a retrieval framework that extracts structured, diverse, and biologically meaningful paths from knowledge graphs (KGs). These extracted paths enables large language models (LLMs) and graph ...
Abstract: The physical constraints of offline counseling and the burden of face-to-face counseling have resulted in a demand for online counseling platforms. Therefore, we propose a psychologi-cal ...
This repository contains the implementation of the model Dynamic Spatial-Temporal Graph Convolutional Recurrent Network (DSTGCRN) presented in the manuscript "Dynamic Spatial-Temporal Model for Carbon ...
Abstract: As neural networks advance, the diversity and latency proportion of non-matrix-multiplication operators (NMO) are on the rise. Providing a versatile and efficient acceleration for this ...
In this tutorial, we dive into the cutting edge of Agentic AI by building a “Zettelkasten” memory system, a “living” architecture that organizes information much like the human brain. We move beyond ...
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