most citedSocial network modeling and applications, a tutorial

23 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Bridging Sequence and Graph Structure for Epigenetic Age Prediction

Yao Li, Xikun Zhang, Xiaotao Shen +4

Epigenetic clocks based on DNA methylation have emerged as powerful tools for estimating biological age, with broad applications in aging research, age-related disease studies, and…

cs.AI2026

PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphs

Yousef A. Radwan, Yao Li, Qing Qing +5

Biomedical knowledge graphs underwrite drug repurposing and clinical decision support, yet the upstream ontologies they depend on update on independent cycles that add millions of…

cs.LG2026

G-Zero: Self-Play for Open-Ended Generation from Zero Data

Chengsong Huang, Haolin Liu, Tong Zheng +7

Self-evolving LLMs excel in verifiable domains but struggle in open-ended tasks, where reliance on proxy LLM judges introduces capability bottlenecks and reward hacking. To overcom…

cs.CL2026

TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question Answering

Yingxu Wang, Jiaxin Huang, Mengzhu Wang +1

Multi-hop Knowledge Graph Question Answering (KGQA) requires coherent reasoning across relational paths, yet existing methods often treat each reasoning step independently and fail…

cs.SI2023★ 23 cited

Social network modeling and applications, a tutorial

Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi

Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…