Data-driven 3D chromosome model reveals structural and dynamic features of DNA

Chromosomes are masters of organization. These long strings of DNA fold down into an ensemble of compact structures that keep needed parts of the genome accessible while tucking away those that aren't ...
GitHub

FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity

Federated graph learning advances the field of federated learning by enabling privacy-preserving collaborative training on distributed graph data. Conventional federated graph learning methods excel ...
GitHub

Graph Exchange File Format

GEFF is a specification for a file format for exchanging spatial graph data. It is not intended to be mutable, editable, chunked, or optimized for use in an application setting.
IEEE

Forgetting and Remembering Are Both You Need: Balanced Graph Structure Unlearning

Abstract: In light of the growing emphasis on the right to be forgotten of graph data, machine unlearning has been extended to unlearn the graph structures’ knowledge from graph neural networks (GNNs) ...
Mena FN

Java World Mag Provides Followup: Brian Ferdinand's Federal Filing Reflects Prudent Structure Amid Sudden Corporate Collapse

(MENAFN- GlobeNewsWire - Nasdaq) San Francisco, CA, Jan. 12, 2026 (GLOBE NEWSWIRE) -- Java World Mag is issuing this follow-up report to provide additional factual and legal context regarding its ...
IEEE

AGSEI: Adaptive Graph Structure Estimation With Long-Tail Distributed Implicit Graphs

Abstract: Empowered by their remarkable advantages, graph neural networks (GNN) serve as potent tools for embedding graph-structured data and finding applications across various domains. Particularly, ...