Big Network and Graph Data Science
Program Leader: Dr Wei Liu
Networks and graphs are becoming increasingly important in representing multi-relational big data, and in modelling complicated data structures and their interactions. The AAi research strength on “Big Network and Graph Data Science” provides cutting-edge data science solutions to a wide range of real-world problems.
Our research on deep “Big Network” uses large-scale deep neural networks to provide analytical solutions for the problems of
- Text mining: deriving high-quality information from building deep networks on texts
- Natural language processing: building informative hierarchical syntactic representation to understand the language
- Image classification: creating deep network representations of images to recognise them
Our research on “Graph Data Science” develops advanced algorithms that handle large size graph and network data including
- Social networks: online social networks such as Facebook and Twitter where we discover useful interaction trends between people
- Road traffic networks: we plan travels with less confronting to time-evolving congestions
- Communities networks: information network in one’s local communities and local affairs is important
- Communication networks: email communication networks and mobile communication network becomes essential elements for everyone
- Citation networks: to make patents influential is to have them well cited
- Collaboration networks: to build a strong team is to build strong collaborations
- Web graphs: with nodes representing webpages and edges representing hyperlinks we discover insightful information from the web
- Signed networks: we model networks with positive and negative edges (friend/foe, trust/distrust) to assist decision making
- Location-based social networks: with geographic check-ins we find which restaurant / club is getting more popular in a certain area
- Online rating and reviews: the graph of genuine reviews and rating linking to a product is the beginning of promoting it
- Biological networks: protein-to-protein interaction networks and gene-to-gene interaction networks are a major factors of biological functions
- And many more …