3 papers
cs.SI2025
Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods
Shuming Liang, Yu Ding, Zhidong Li +4
This paper explores the ability of Graph Neural Networks (GNNs) in learning various forms of information for link prediction, alongside a brief review of existing link prediction m…
cs.LG2025
Multimodal Machine Learning for Real Estate Appraisal: A Comprehensive Survey
Chenya Huang, Zhidong Li, Fang Chen +1
Real estate appraisal has undergone a significant transition from manual to automated valuation and is entering a new phase of evolution. Leveraging comprehensive attention to vari…
cs.LG2024
Navigating Towards Fairness with Data Selection
Yixuan Zhang, Zhidong Li, Yang Wang +3
Machine learning algorithms often struggle to eliminate inherent data biases, particularly those arising from unreliable labels, which poses a significant challenge in ensuring fai…