Fake Graphs, Real Results: Learning with Synthetic Graphs
Visiting speaker
Dr. John Palowitch
Research Scientist at Google Research
Past Talk
Hybrid talk
Monday
Mar 25, 2024
Watch video
11:30 am
EST
Virtual
177 Huntington Ave.
11th floor
11th floor
Devon House
58 St Katharine's Way
London E1W 1LP, UK
58 St Katharine's Way
London E1W 1LP, UK
This talk will cover recent work related to training and evaluating graph ML models on synthetic graphs. First, we discuss GraphWorld, a framework and package for generating a high-diversity set of medium-scale graphs for finding edge-cases of GNN performance. Second, we discuss new graph generative models that have been added to GraphWorld since its release. Finally, we discuss more recent work on generating large, individual synthetic graphs, and the challenges involved in training a GNN model on such graphs.
About the speaker
About the speaker
John Palowitch is a Research Scientist in Google Research based in San Francisco, CA working at the intersection of graph machine learning and LLMs.
John Palowitch is a Research Scientist in Google Research based in San Francisco, CA working at the intersection of graph machine learning and LLMs.
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