activity
20182024
most citedPubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science

19 citations · 38 across the 8 of their papers we have counts for

collaborators

8 papers

cs.DB2024★ 2 cited

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

Lan Li, Liri Fang, Bertram Ludäscher +1

Data cleaning is a time-consuming and error-prone manual process, even with modern workflow tools such as OpenRefine. We present AutoDCWorkflow, an LLM-based pipeline for automatic…

cs.AI2024★ 2 cited

What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs

Dongqi Fu, Liri Fang, Zihao Li +3

Graphs, as a relational data structure, have been widely used for various application scenarios, like molecule design and recommender systems. Recently, large language models (LLMs…

cs.DL2024★ 19 cited

PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science

Jian Xu, Chao Yu, Jiawei Xu +6

Papers, patents, and clinical trials are essential scientific resources in biomedicine, crucial for knowledge sharing and dissemination. However, these documents are often stored i…

cs.CL2024

T-KAER: Transparency-enhanced Knowledge-Augmented Entity Resolution Framework

Lan Li, Liri Fang, Yiren Liu +2

Entity resolution (ER) is the process of determining whether two representations refer to the same real-world entity and plays a crucial role in data curation and data cleaning. Re…

cs.CL2023★ 4 cited

KAER: A Knowledge Augmented Pre-Trained Language Model for Entity Resolution

Liri Fang, Lan Li, Yiren Liu +2

Entity resolution has been an essential and well-studied task in data cleaning research for decades. Existing work has discussed the feasibility of utilizing pre-trained language m…

cs.DL2020★ 9 cited

Building a PubMed knowledge graph

Jian Xu, Sunkyu Kim, Min Song +12

PubMed is an essential resource for the medical domain, but useful concepts are either difficult to extract or are ambiguated, which has significantly hindered knowledge discovery.…

cs.DL2019★ 1 cited

Geographical Distribution of Biomedical Research in the USA and China

Yingjun Guan, Jing Du, Vetle I. Torvik

We analyze nearly 20 million geocoded PubMed articles with author affiliations. Using K-means clustering for the lower 48 US states and mainland China, we find that the average pub…

cs.CL2018★ 1 cited

Examining Scientific Writing Styles from the Perspective of Linguistic Complexity

Chao Lu, Yi Bu, Jie Wang +4

Publishing articles in high-impact English journals is difficult for scholars around the world, especially for non-native English-speaking scholars (NNESs), most of whom struggle w…