Community detection, link prediction, and dynamic network evolution modeling.
Efficient storage, querying, and processing of large-scale heterogeneous datasets.
Visual understanding, object recognition, and scene analysis in complex environments.
Deep architectures, representation learning, and transfer learning at scale.
Graph-based AML, money laundering patterns, and fraud detection via network analysis.
Scalable computation, streaming graph processing, and large-scale graph analytics.
Beyond pairwise: learning with higher-order relationships in complex data systems.
