Given a terabyte-scale graph distributed across multiple machines, how can we summarize
it, with much fewer nodes and edges, so that we can restore the original graph exactly or …

Nowadays internet-based applications collect and distribute large datasets, which are
mostly modeled by pertinent massive graphs. One solution to process such massive graphs …

We present a new graph compression scheme that intrinsically exploits the similarity and
locality of references in a graph by first ordering the nodes and then merging the contiguous …

Besides the challenge that a human can ask one question in many different ways, a key
aspect in Question Answering approaches over Knowledge Graphs (KGQA) is to deal with …

Graph summarization has become integral for managing and analyzing large-scale graphs
in diverse real-world applications, including social networks, biological networks, and …

现实社会存在大量复杂网络, 随着大数据时代的来临, 复杂网络数据规模不断扩大,
难以进行算法分析和可视化展示. 针对复杂网络小世界, 无标度特性, 提出基于K-sup …

图概要技术是管理, 分析和可视化大规模图的关键技术之一. 如何综合结构和属性信息进行图
概要是一个挑战. 大部分现有的图概要方法或者只考虑结构或属性某一方面的信息 …

The amount of collected information on data repositories has vastly increased with the
advent of the internet. It has become increasingly complex to deal with these massive data …

Graphs are ubiquitous, representing a variety of information, ranging from who follows whom
on online social networks to who reviews what on e-commerce sites. Many of these graphs …

Graph Theory PhD Course – Marco Viviani Page 1 Graph Theory and Algorithms Ph.D. Course
– Marco Viviani Walks, Paths, Trails, Cycles, Circuits, Connectivity and related Issues (April 15 …