activity
20212026
most citedAceMap: Knowledge Discovery through Academic Graph

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Improving LLM Reasoning with Homophily-aware Structural and Semantic Text-Attributed Graph Compression

Zijun Di, Bin Lu, Huquan Kang +5

Large language models (LLMs) have demonstrated promising capabilities in Text-Attributed Graph (TAG) understanding. Recent studies typically focus on verbalizing the graph structur…

physics.soc-ph2024

Scientific and technological knowledge grows linearly over time

Huquan Kang, Luoyi Fu, Russell J. Funk +6

The past few centuries have witnessed a dramatic growth in scientific and technological knowledge. However, the nature of that growth - whether exponential or otherwise - remains c…

cs.DL2024★ 3 cited

AceMap: Knowledge Discovery through Academic Graph

Xinbing Wang, Luoyi Fu, Xiaoying Gan +23

The exponential growth of scientific literature requires effective management and extraction of valuable insights. While existing scientific search engines excel at delivering sear…

physics.soc-ph2023

Revisiting Network Value: Sublinear Knowledge Law

Xinbing Wang, Luoyi Fu, Huquan Kang +3

Three influential laws, namely Sarnoff's Law, Metcalfe's Law, and Reed's Law, have been established to describe network value in terms of the number of neighbors, edges, and subgra…

cs.DL2021

Exploring the Disproportion Between Scientific Productivity and Knowledge Amount

Luoyi Fu, Huquan Kang, Jianghao Wang +3

The pursuit of knowledge is the permanent goal of human beings. Scientific literature, as the major medium that carries knowledge between scientists, exhibits explosive growth duri…