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 Data Condensation via Self-expressive Graph Structure Reconstruction (KDD 2024)

[KDD 2024] In this repository, we present the code of Graph Data Condensation via Self-expressive Graph Structure Reconstruction (GCSR). python==3.7.13 torch==1.13.0 torchvision==0.14.0 ...
Hosted on MSN

Chengdu, China unveils a living tree structure

This stunning structure inside a Chengdu mall looks like something out of a sci-fi movie. Designed to resemble a futuristic “Tree of Life,” the architecture blends green design, art, and innovation.
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, ...
IEEE

A Graph Representation Learning Approach for Imbalanced Ship Type Recognition Using AIS Trajectory Data

Abstract: Marine transportation constitutes a vital segment of international trade logistics. Recognizing marine carrier ship types is essential for the governance and efficiency of the marine ...