Revealing Nuances in Data at Scale
People are asked to explore and make sense of enormous amounts of information on a daily basis. Faced with the limits of human perception and cognition, many turn to machine learning and data visualization technologies…
Gated Graph Sequence Neural Networks
Graph-structured data appears frequently in domains including chemistry, natural language semantics, social networks, and knowledge bases. In this work, we study feature learning techniques for graph-structured inputs. Our starting point is previous work on Graph…
High-Performance Incremental Processing of Complex Analytical Queries
Many of today’s popular computing applications require real-time analytics over large and dynamic datasets, from social web applications to online data warehousing, network monitoring, and algorithmic trading. These applications have long-lived analysis queries that require…
Accelerating Advanced Analytics
Advanced analytics — the analysis of large and complex data using machine learning (ML) — is becoming ubiquitous, with a growing demand for advanced analytics tools in the enterprise domains. However, there exist several challenging…