Graph data processing has been widely applied in a variety of domains such as industry,
science, social network, and so on. It therefore has stimulated many efforts devoted to this …

Secure authentication in wireless sensor networks is complicated by the promiscuous nature
of the wireless transmission medium and by the limited hardware and software capabilities …

Streaming graph data mining has become a significant issue in high performance graph
mining due to the increasing appearance of graph data sets as streams. In this paper we …

Graph Convolutional Networks (GCN) have become a popular means of performing link
prediction due to the high accuracy offered by them. However, scaling such link prediction …

The development of scalable, representative, and widely adopted benchmarks for graph
data systems have been a question for which answers has been sought for decades. We …

Graph Convolutional Networks (GCN) have found multiple applications of graph-based
machine learning. However, training GCNs on large graphs of billions of nodes and edges …

The paper introduced a data acquisition system which is based on virtual instruments
technology. The data acquisition system can not only obtain the spot signal speedily and …

Graph data management and mining in HPC environments has been a widely discussed
issue in recent times. In this talk I will describe the use of Partitioned Global Address Space …