Abstract: Semi-supervised domain generalization (SSDG) has recently emerged as a potential research topic. Compared to domain generalization, SSDG represents a realistic and challenging goal, which ...

Abstract: Graph neural networks (GNNs) have become a promising paradigm in the field of node representation learning, owing to their capacity to capture both node features and their relationships.

Large language model (LLM) based knowledge graph completion (KGC) aims to predict the missing triples in the KGs with LLMs and enrich the KGs to become better web infrastructure, which can benefit a ...

SemiDFL introduces the first semi-supervised decentralized federated learning (DFL) framework, addressing the challenges of limited labeled data and non-IID distributions among decentralized clients.