Papers

• MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks Roger Waleffe et al. EuroSys 2023
• Demo of Marius: A System for Large-scale Graph Embeddings Anze Xie et al. VLDB demo 21
• Marius: Learning Massive Graph Embeddings on a Single Machine Jason Mohoney et al. OSDI 21

Talks

• Talk at Cornell DB Seminar, May 2022
• Talk at MLOpsWorld, June 2021
• Talk at OSDI 2021, July 2021
• Demo at VLDB 2021, August 2021