Featured Machine Learning Articles and Applied Research Programs
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A global graph transformer for node classification
Our engineers demonstrate a new solution for node classification: Global graph transformers, which can be used for both homophilious and heterophilious graphs.
An automatic framework to explain features of image representations
Our engineers helped develop an interpretability framework to explain features of image representations and how extracted concepts can observe and debug failures in downstream tasks.
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