5 citations · 11 across the 4 of their papers we have counts for
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cs.LG2025
A Survey on Graph Neural Networks for Fraud Detection in Ride Hailing Platforms
Kanishka Hewageegana, Janani Harischandra, Nipuna Senanayake +3
This study investigates fraud detection in ride hailing platforms through Graph Neural Networks (GNNs),focusing on the effectiveness of various models. By analyzing prevalent fraud…
cs.LG2020★ 2 cited
Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association
Thosini Bamunu Mudiyanselage, Xiujuan Lei, Nipuna Senanayake +2
Graphs can be used to effectively represent complex data structures. Learning these irregular data in graphs is challenging and still suffers from shallow learning. Applying deep l…