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This course focuses on advanced graph mining
algorithms for understanding graphs and extracting
patterns and relationships from them. The course covers
the following topics: Graph data structures and graph
databases, paths flows and fundamental graph
algorithms, mining subgraph patterns, subgraph pattern
matching, nearest-neighbors search, graph centrality,
spectral graph theory, graph similarity & graph kernels,
modularity & influence maximization, graph
embeddings & graph classification, linear-algebra-based
graph algorithms
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