Nowadays, data are generated in a continuous streaming manner as the inputs of various
applications. The sources of such generated data can be wired or wireless sensor networks …

With the widespread adoption of cloud computing, it is increasingly popular for online social
network (OSN) service providers to leverage the public cloud as a back-end to manage their …

Abstract Knowledge Graph (KG) has attracted more and more companies' attention for its
ability to connect different types of data in meaningful ways and support rich data services …

Deploying data storage and query service in an untrusted cloud server raises critical privacy
and security concerns. This paper focuses on the fundamental problem of processing …

Streaming graphs have seen wide adoption in diverse scenarios due to their superior ability
to capture temporal interactions among entities. With the proliferation of cloud computing, it …

Graph neural networks (GNNs) and their variants have generalized deep learning methods
into non-Euclidean graph data, bringing substantial improvement in many graph mining …

This paper studies privacy preserving graph pattern query services in a cloud computing
paradigm. In such a paradigm, data owner stores the large data graph to a powerful cloud …

Community search over graphs, which is believed as a powerful tool for locating subgraphs
of closely related vertices, has received considerable attention in recent years, and-truss is …

Subgraph counting aims to count over a large graph subgraphs matching a given shape (eg,
triangle), which plays an important role in various social graph analytics applications such …

Encryption and compression are two critical techniques to ensure data confidentiality and
efficiency for a cloud-based data storage system, respectively. However, directly combing …