IEEE

Toward Robust Graph Semi-Supervised Learning Against Extreme Data Scarcity

Abstract: The success of graph neural networks (GNNs) in graph-based web mining highly relies on abundant human-annotated data, which is laborious to obtain in practice. When only a few labeled nodes ...
IEEE

Graph-Based Joint Client Clustering and Resource Allocation for Wireless Distributed Learning: A New Hierarchical Federated Learning Framework With Non-IID Data

Abstract: Hierarchical federated learning (HFL) is a key technology enabling distributed learning with reduced communication overhead. However, practical HFL systems encounter two major challenges: ...

Charts can be social artifacts that communicate more than just data

The degree to which someone trusts the information depicted in a chart can depend on their assumptions about who made the ...