3 papers
cs.LG2025
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning
Jongwoo Kim, Seongyeub Chu, Hyeongmin Park +3
Recent advancements in graph neural networks (GNNs) and heterogeneous GNNs (HGNNs) have advanced node embeddings and relationship learning for various tasks. However, existing meth…
cs.LG2025
Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs
Donghee Han, Daehee Kim, Minjun Lee +3
The rise of online learning has led to the development of various knowledge tracing (KT) methods. However, existing methods have overlooked the problem of increasing computational…
cs.LG2025
Closer through commonality: Enhancing hypergraph contrastive learning with shared groups
Daeyoung Roh, Donghee Han, Daehee Kim +2
Hypergraphs provide a superior modeling framework for representing complex multidimensional relationships in the context of real-world interactions that often occur in groups, over…