2 citations · 3 across the 8 of their papers we have counts for
8 papers
Rethinking Sampling Strategy in Link Prediction
Yilin Bi, Zhenyu Deng, Xinshan Jiao +1
Many real-world networks are incomplete, making link prediction a fundamental challenge in network science. To train parameters and evaluate algorithms, observed links are usually…
Quantifying and Mitigating Self-Preference Bias of LLM Judges
Jinming Yang, Zheng Hu, Chuxian Qiu +3
LLM-as-a-Judge has become a dominant approach in automated evaluation systems, playing critical roles in model alignment, leaderboard construction, quality control, and so on. Howe…
Subjective-Graph LLM Agents for Simulating Uncertainty in Classroom Social Perception
Jinming Yang, Xinyu Jiang, Xinshan Jiao +1
Social actors do not observe a common social world: each individual forms judgments from a partial and potentially distorted view of the surrounding network. We study whether graph…
Impacts of Data Splitting Strategies on Parameterized Link Prediction Algorithms
Xinshan Jiao, Yuxin Luo, Yilin Bi +1
Link prediction is a fundamental problem in network science, aiming to infer potential or missing links based on observed network structures. With the increasing adoption of parame…
Performances and Correlations of Centrality Measures in Complex Networks
Yilin Bi, Xinshan Jiao, Tao Zhou
Numerous centrality measures have been proposed to evaluate the importance of nodes in networks, yet comparative analyses of these measures remain limited. Based on 80 real-world n…
Quantifying discriminability of evaluation metrics in link prediction for real networks
Shuyan Wan, Yilin Bi, Xinshan Jiao +1
Link prediction is one of the most productive branches in network science, aiming to predict links that would have existed but have not yet been observed, or links that will appear…
Inconsistency of evaluation metrics in link prediction
Yilin Bi, Xinshan Jiao, Yan-Li Lee +1
Link prediction is a paradigmatic and challenging problem in network science, which aims to predict missing links, future links and temporal links based on known topology. Along wi…
Comparing discriminating abilities of evaluation metrics in link prediction
Xinshan Jiao, Shuyan Wan, Qian Liu +5
Link prediction aims to predict the potential existence of links between two unconnected nodes within a network based on the known topological characteristics. Evaluation metrics a…