7 papers
AdaPath: Query-Adaptive Path-Finding via Path-Bank for Multi-Hop Implicit Biomedical KGQA
Jun Hyeong Kim, Dongki Kim, Yinhua Piao +1
Path-finding over knowledge graphs has become an effective way to ground LLM reasoning on multi-hop questions. However, biomedical QA introduces two distinct challenges that genera…
GraphT5: Unified Molecular Graph-Language Modeling via Multi-Modal Cross-Token Attention
Sangyeup Kim, Nayeon Kim, Yinhua Piao +1
Molecular language modeling tasks such as molecule captioning have been recognized for their potential to further understand molecular properties that can aid drug discovery or mat…
MV-CLAM: Multi-View Molecular Interpretation with Cross-Modal Projection via Language Model
Sumin Ha, Jun Hyeong Kim, Yinhua Piao +1
Human expertise in chemistry and biomedicine relies on contextual molecular understanding, a capability that large language models (LLMs) can extend through fine-grained alignment…
Improving out-of-distribution generalization in graphs via hierarchical semantic environments
Yinhua Piao, Sangseon Lee, Yijingxiu Lu +1
Out-of-distribution (OOD) generalization in the graph domain is challenging due to complex distribution shifts and a lack of environmental contexts. Recent methods attempt to enhan…
Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning
Nayeon Kim, Yinhua Piao, Sun Kim
Leveraging knowledge from electronic health records (EHRs) to predict a patient's condition is essential to the effective delivery of appropriate care. Clinical notes of patient EH…
SPGP: Structure Prototype Guided Graph Pooling
Sangseon Lee, Dohoon Lee, Yinhua Piao +1
While graph neural networks (GNNs) have been successful for node classification tasks and link prediction tasks in graph, learning graph-level representations still remains a chall…