3 citations · 4 across the 5 of their papers we have counts for
5 papers
Graph Attention-based Adaptive Transfer Learning for Link Prediction
Huashen Lu, Wensheng Gan, Guoting Chen +2
Graph neural networks (GNNs) have brought revolutionary advancements to the field of link prediction (LP), providing powerful tools for mining potential relationships in graphs. Ho…
Discovering Top-k Periodic and High-Utility Patterns
Qingfeng Zhou, Wensheng Gan, Guoting Chen
With a user-specified minimum utility threshold (minutil), periodic high-utility pattern mining (PHUPM) aims to identify high-utility patterns that occur periodically in a transact…
Towards Revenue Maximization with Popular and Profitable Products
Wensheng Gan, Guoting Chen, Hongzhi Yin +3
Economic-wise, a common goal for companies conducting marketing is to maximize the return revenue/profit by utilizing the various effective marketing strategies. Consumer behavior…
THUE: Discovering Top-K High Utility Episodes
Shicheng Wan, Jiahui Chen, Wensheng Gan +2
Episode discovery from an event is a popular framework for data mining tasks and has many real-world applications. An episode is a partially ordered set of objects (e.g., item, nod…
TOPIC: Top-k High-Utility Itemset Discovering
Jiahui Chen, Shicheng Wan, Wensheng Gan +2
Utility-driven itemset mining is widely applied in many real-world scenarios. However, most algorithms do not work for itemsets with negative utilities. Several efficient algorithm…