3 citations · 3 across the 4 of their papers we have counts for
5 papers
Text-attributed Graph Condensation via Text Selection and Attribute Matching
Haowei Han, Yuxiang Wang, Guojia Wan +5
Text-Attributed Graph (TAG) is an important type of graph structured data, where each node has a text description. TAG models usually train a Graph Neural Network (GNN) and languag…
Epistemic-aware Vision-Language Foundation Model for Fetal Ultrasound Interpretation
Xiao He, Huangxuan Zhao, Guojia Wan +8
Recent medical vision-language models have shown promise on tasks such as VQA, report generation, and anomaly detection. However, most are adapted to structured adult imaging and u…
Efficient Relational Context Perception for Knowledge Graph Completion
Wenkai Tu, Guojia Wan, Zhengchun Shang +1
Knowledge Graphs (KGs) provide a structured representation of knowledge but often suffer from challenges of incompleteness. To address this, link prediction or knowledge graph comp…
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
Tianle Xia, Liang Ding, Guojia Wan +3
Answering complex queries over incomplete knowledge graphs (KGs) is a challenging job. Most previous works have focused on learning entity/relation embeddings and simulating first-…
Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification
Minghui Liao, Guojia Wan, Bo Du
Determining the types of neurons within a nervous system plays a significant role in the analysis of brain connectomics and the investigation of neurological diseases. However, the…