5 citations · 11 across the 4 of their papers we have counts for
4 papers
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…
Advancements in Natural Language Processing for Automatic Text Summarization
Nevidu Jayatilleke, Ruvan Weerasinghe, Nipuna Senanayake
The substantial growth of textual content in diverse domains and platforms has led to a considerable need for Automatic Text Summarization (ATS) techniques that aid in the process…
Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks
Thosini Bamunu Mudiyanselage, Nipuna Senanayake, Chunyan Ji +2
The novel corona virus (Covid-19) has introduced significant challenges due to its rapid spreading nature through respiratory transmission. As a result, there is a huge demand for…
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…