SDxCentral

AI is altering data storage scale, structure, and sanity

Data storage systems have been refined over the years to provide a stable platform onto which organizations can dump their ...
HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
IEEE

Extending the Leader–First Follower Structure for Bearing-Only Formation Control on Directed Graphs

Abstract: This work introduces a generalization of the leader–first follower (LFF) graph structure for solving the bearing-only formation control problem on directed graphs. The first contribution ...
IEEE

TCR-pMHC Binding Specificity Prediction From Structure Using Graph Neural Networks

Abstract: The mapping of T-cell-receptors (TCRs) to their cognate peptides is crucial to improving cancer immunotherapy. Numerous computational methods and machine learning tools have been proposed to ...
GitHub

[AAAI 2025] DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models

This repository is the official implementation of "DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models" accepted by the Main Technical Track of the 39th ...