The other area is graph algorithms becoming more tightly integrated with mainstream machine learning. Currently many libraries tend to focus on one or the other (even GraphX is only loosely integrated ...
Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...
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