Unlock: Graph Neural Networks
Message passing on graphs: GCN, GAT, GraphSAGE, the WL isomorphism test as an expressivity ceiling, over-smoothing in deep GNNs, and applications to molecules, social networks, and knowledge graphs.
146 Prerequisites0 Mastered0 Working128 Gaps
Prerequisite mastery12%
Recommended probe
Fisher Information: Curvature, KL Geometry, and the Natural Gradient is your weakest prerequisite with available questions. You haven't been assessed on this topic yet.
Graph Neural NetworksTARGET
Not assessed19 questions
McDiarmid's InequalityAdvanced
Not assessed15 questions
Symmetrization InequalityAdvanced
Not assessed3 questions
VC DimensionCore
Not assessed58 questions
Contraction InequalityAdvanced
Not assessed1 question
Sufficient Statistics and Exponential FamiliesInfrastructure
Not assessed6 questions
Not assessed20 questions
Convolutional Neural NetworksAdvanced
Not assessed1 question
No quiz
Clustering for Gene ExpressionResearch
No quiz
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