16 citations · 53 across the 5 of their papers we have counts for
5 papers
Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendation
Chanyoung Chung, Kyeongryul Lee, Sunbin Park +1
Recommender systems have long been built upon the modeling of interactions between users and items, while recent studies have sought to broaden this paradigm by generalizing to new…
InGram: Inductive Knowledge Graph Embedding via Relation Graphs
Jaejun Lee, Chanyoung Chung, Joyce Jiyoung Whang
Inductive knowledge graph completion has been considered as the task of predicting missing triplets between new entities that are not observed during training. While most inductive…
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
Chanyoung Chung, Jaejun Lee, Joyce Jiyoung Whang
A hyper-relational knowledge graph has been recently studied where a triplet is associated with a set of qualifiers; a qualifier is composed of a relation and an entity, providing…
Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction
Chanyoung Chung, Joyce Jiyoung Whang
Knowledge graphs represent known facts using triplets. While existing knowledge graph embedding methods only consider the connections between entities, we propose considering the r…
Model Parameter Identification via a Hyperparameter Optimization Scheme for Autonomous Racing Systems
Hyunki Seong, Chanyoung Chung, David Hyunchul Shim
In this letter, we propose a model parameter identification method via a hyperparameter optimization scheme (MI-HPO). Our method adopts an efficient explore-exploit strategy to ide…