30 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Hainan UniversityCN3 papers
- Beijing Academy of Quantum Information SciencesCN1 paper
- China University of Mining and TechnologyCN1 paper
- East China Normal UniversityCN1 paper
- Griffith UniversityAU1 paper
- Guangxi Normal UniversityCN1 paper
- Hong Kong Polytechnic UniversityHK1 paper
- Institute of SemiconductorsCN1 paper
- Primetals Technologies (Austria)AT1 paper
- Shanxi UniversityCN1 paper
- Software Competence Center Hagenberg (Austria)AT1 paper
- State Key Laboratory on Integrated OptoelectronicsCN1 paper
3 papers · 1 filter
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation
Chengyu Li, Debo Cheng, Guixian Zhang +2
Graph Neural Networks (GNNs) have demonstrated strong performance in graph representation learning across various real-world applications. However, they often produce biased predic…
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent
Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs +5
This paper develops a novel mathematical framework for collaborative learning by means of geometrically inspired kernel machines which includes statements on the bounds of generali…
Domain-adaptive Message Passing Graph Neural Network
Xiao Shen, Shirui Pan, Kup-Sze Choi +1
Cross-network node classification (CNNC), which aims to classify nodes in a label-deficient target network by transferring the knowledge from a source network with abundant labels,…