Graphs are fundamental mathematical structures used in various fields to represent data, signals, and processes. In this paper, we propose a novel framework for learning/estimating graphs from data.

China’s massive investment in electronic toll collection (ETC) infrastructure may be set to transform urban traffic management nationwide, according to a new survey of emerging sensing and analysis ...

IJCNN 2025 Competition: Learning with Noisy Graph Labels Handling noisy data is a persistent issue in machine learning, but it takes on a unique complexity in the context of graph structures. In ...

PRESS RELEASE – Sen. Jon Husted (R-Ohio) has joined Sens. Katie Britt (R-Ala.) and John Fetterman’s (D-Pa.) Stop the Scroll Act. The bill would create a mental health warning label requirement for ...

This article aims to address the problem of time-series forecasting. Current state-of-the-art forecasting models lack the ability to mine the spatiotemporal dependence. How to mine more useable ...

Package Name: azure-ai-agents Package Version: 1.1.0b1 Operating System: Ubuntu 22.04 Python Version: 3.10.12 Describe the bug I have several Azure AI Search indexes, each responsible for a different ...