Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs (TKGs), challenging the conventional reliance on graph-based techniques and ...
According to God of Prompt, integrating temporal graphs into Retrieval-Augmented Generation (RAG) systems by adding timestamps to every node and edge allows organizations to track changes in knowledge ...
Abstract: Temporal graph representation learning seeks to capture the intrinsic evolution of nodes in temporal graphs for various applications. While existing models primarily learn node ...
His Legacy… Victor Allen LaBallister, 83, passed away January 17, 2026, after a long battle with Alzheimer’s. He was born on February 12, 1942, in Howell ...
Abstract: Accurate and efficient cellular traffic prediction is crucial for enhancing the user quality of experience in mobile networks. However, this task faces significant challenges due to the ...
This repository contains the official implementation of the A Spatio-Temporal Graph Transformer (STGT) model to improve road traffic forecasting model for traffic speed forecasting on the METR-LA ...
Figure: The Overall Architecture of the Proposed HTGCL. Abstract Graph Neural Networks (GNNs) have attracted extensive attention in recent years due to the powerful representation capabilities for ...
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