Although I'm pretty much allergic to finance and business news in the evening bulletins, I do look forward to Alan Kohler's segment on the ABC News because no one deals with graphs on telly better ...
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Hard in theory, easy in practice: Why graph isomorphism algorithms seem to be so effective
Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a public transportation network. Mathematicians have long sought to develop ...
The first section of CAT 2011 will have 20 questions on quantitative ability and 10 questions on data interpretation. DI is usually considered a tough section but an effective strategy can increase ...
This article draws on several reviews that have documented known challenges for students when learning to use graphs in science contexts. It then illustrates these challenges with examples drawn from ...
Semantic Table Interpretation is a critical process that transforms tabular data into rich, machine-readable semantic representations by associating table elements with concepts from established ...
Abstract: Graph neural networks (GNNs) demonstrate great performance in compound property and activity prediction due to their capability to efficiently learn complex molecular graph structures.
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