9 citations · 12 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
Hypergraph Mining via Proximity Matrix
Junhao Bian, Yilin Bi, Tao Zhou
Hypergraphs serve as an effective tool widely adopted to characterize higher-order interactions in complex systems. The most intuitive and commonly used mathematical instrument for…
Hard negative sampling in hyperedge prediction
Zhenyu Deng, Tao Zhou, Yilin Bi
Hypergraph, which allows each hyperedge to encompass an arbitrary number of nodes, is a powerful tool for modeling multi-entity interactions. Hyperedge prediction is a fundamental…
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…