Multi-Constraint Shortest Path (MCSP) generalizes the classic shortest path from single to
multiple criteria such that more personalized needs can be satisfied. However, MCSP query …

Route planning plays an increasingly important role in our society, and the routing results,
which are the paths that vehicles actually travel in a road network, which influence the traffic …

Fraud detection is a pressing challenge for most financial and commercial platforms. In this
paper, we study the processing pipeline of fraud detection in a large e-commerce platform of …

Graph analytical queries (GAQs) are becoming increasingly important in various domains,
including social networks, recommendation systems, and bioinformatics, among others …

Bicliques, as a prevalent graph pattern, are of particular interest in graph mining and social
network analysis, especially for detecting illegal activities on e-commerce platforms due to …

Counting (p, q)-bicliques in bipartite graphs poses a foundational challenge with broad
applications, from densest sub-graph discovery in algorithmic research to personalized …

GPU's massive computing power offers unprecedented opportunities to enable large graph
analysis. Existing studies proposed various preprocessing approaches that convert the input …

In many route planning applications, finding constrained shortest paths (CSP) is an
important and fundamental problem. CSP aims to find the shortest path between two nodes …

Graph pattern mining (GPM) is an important problem in graph processing. There are many
parallel frameworks for GPM, many of which suffer from low performance. GPU is a powerful …

Travel planning plays an increasingly important role in our society. The travel plans, which
consist of the paths each vehicle is suggested to follow and its corresponding departure …