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Related lectures (4)
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Knowledge Inference for Graphs
Explores knowledge inference for graphs, discussing label propagation, optimization objectives, and probabilistic behavior.
Stirling's Formula: Applications and Embeddings
Explores Stirling's formula applications, polarization in vectors, and graph embeddings in Euclidean space.
Knowledge Inference: Entity Disambiguation and Graph Embeddings
Explores entity disambiguation, graph embeddings, scoring functions, and learning methods.
Cayley Graphs
Covers Cayley graphs, generators, group examples, and graph structures.
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