In recent years, significant advances have been made in the design and evaluation of
balanced (hyper) graph partitioning algorithms. We survey trends of the past decade in …

The growing popularity of massively accessed Web applications that store and analyze
large amounts of data, being Facebook, Twitter and Google Search some prominent …

Knowledge is indispensable to understanding. The ongoing information explosion highlights
the need to enable machines to better understand electronic text in human language. Much …

Given a query graph q and a data graph g, the subgraph isomorphism search finds all
occurrences of q in g and is considered one of the most fundamental query types for many …

The ability to handle large scale graph data is crucial to an increasing number of
applications. Much work has been dedicated to supporting basic graph operations such as …

Much work has been devoted to supporting RDF data. But state-of-the-art systems and
methods still cannot handle web scale RDF data effectively. Furthermore, many useful and …

Graphs are used to model many real objects such as social networks and web graphs. Many
real applications in various fields require efficient and effective management of large-scale …

Abstract The Resource Description Framework (RDF) pioneered by the W3C is increasingly
being adopted to model data in a variety of scenarios, in particular data to be published or …

We present a distributed graph database system to manage historical data for large evolving
information networks, with the goal to enable temporal and evolutionary queries and …

Billion-node graphs pose significant challenges at all levels from storage infrastructures to
programming models. It is critical to develop a general purpose platform for graph …