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Related lectures (28)

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Efficient Graph Queries: Memory Constraints

Explores scaling pattern matching in large graphs and optimizing query execution under memory constraints using work-sharing and batch processing.

Learning from the Interconnected World with Graphs

Explores learning from interconnected data using graphs, covering challenges, GNN design, research landscapes, and democratization of Graph ML.

Image Systems

Delves into image systems, physical connections, pattern propagation, and morphograph creation.

Belief Propagation in Random Graphs

Explores belief propagation in random graphs and Bethe free entropy.

Java Programming: Strings and Arrays

Covers fundamental programming and object-oriented programming concepts in Java, including variables, types, control structures, and basic algorithmic concepts.

Statistical Analysis of Network Data: Structures and Models

Explores statistical analysis of network data, covering graph structures, models, statistics, and sampling methods.

Real-time Intelligence: Data Challenges and Hardware Evolution

Explores data challenges and hardware evolution for real-time intelligence in the era of big data.

Big Data Applications: Analysis and Solutions

Explores the challenges and solutions for analyzing large datasets efficiently in the digital era.