InfoWorld

Four agentic AI memory systems for smarter LLMs

These third-party projects greatly expand the ways agents and LLMs can draw on facts, documents, and conversations to deliver ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
IEEE

Schizophrenia Detection Using Interconnected Graph-Based Features From EEG Signals

Abstract: Schizophrenia (Sz) is a complex mental disorder characterized by disruptions in thought processes, perceptions, and emotional regulation. It is imperative to identify schizophrenia at an ...
IEEE

GMamba: Focused and Flexible Visual Perception via Adaptive Integration of State Space Models and Graph Neural Networks

Abstract: State Space Models (SSMs) and Graph Neural Networks (GNNs) have been demonstrated to be highly effective in visual tasks. Existing vision SSMs capture features in a focused manner through a ...