4 papers
Importance Ranking in Complex Networks via Influence-aware Causal Node Embedding
Jiahui Gao, Kuang Zhou, Yuchen Zhu +1
Understanding and quantifying node importance is a fundamental problem in network science and engineering, underpinning a wide range of applications such as influence maximization,…
Restoring Network Evolution from Static Structure
Jiu Zhang, Zhanwei Du, Hongwei Hu +6
The dynamical evolution of complex networks underpins the structure-function relationships in natural and artificial systems. Yet, restoring a network's formation from a single sta…
TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks
Keyu Wu, Qianjin Yu, Manlin Mei +4
Root Cause Analysis (RCA) in telecommunication networks is a critical task, yet it presents a formidable challenge for Artificial Intelligence (AI) due to its complex, graph-based…
Rethinking the Generation of High-Quality CoT Data from the Perspective of LLM-Adaptive Question Difficulty Grading
Qianjin Yu, Keyu Wu, Zihan Chen +7
Recently, DeepSeek-R1 (671B) (DeepSeek-AIet al., 2025) has demonstrated its excellent reasoning ability in complex tasks and has publiclyshared its methodology. This provides poten…