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• Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models
  2019
• Approximate Inference in Structured Instances with Noisy Categorical Observations
  2019
• Marius: Learning Massive Graph Embeddings on a Single Machine
  2021
• MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks
  2022
• Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale
  2022
• High-Throughput Vector Similarity Search in Knowledge Graphs
  2023
• Growing and Serving Large Open-domain Knowledge Graphs
  2023