As graph and network mining being a hot topic nowadays, in this talk, I will present a brief review of the 15 years research in my group on this topic. I will talk about how we started from building graph databases and graph indexes in 2004, and discuss the topics we researched including graph construction, graph databases, specialized graph databases (e.g., geographical networks and social networks), graph query answering, pattern mining in graphs, information ow and in uence analysis on graphs, privacy preservation in social networks, machine learning on graphs from conventional classi cation and clustering to network embedding. From this relatively short and biased memoir, I will try to summarize and share some experience and lessons on mining big data.
Biography: