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Lecture
Mining Social Graphs
Graph Chatbot
Related lectures (27)
Statistical Analysis of Network Data: Structures and Models
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Explores statistical analysis of network data, covering graph structures, models, statistics, and sampling methods.
Graph Algorithms: Basics
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Introduces the basics of graph algorithms, covering traversal, representation, and data structures for BFS and DFS.
Graph Neural Networks: Interconnected World
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Explores learning from interconnected data with graphs, covering modern ML research goals, pioneering methods, interdisciplinary applications, and democratization of graph ML.
Learning from the Interconnected World with Graphs
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Graphs in Deep Learning: Applications and Techniques
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Statistical analysis of network data
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Covers stochastic properties, network structures, models, statistics, centrality measures, and sampling methods in network data analysis.
Graph Mining: Social Networks Analysis
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Explores graph mining in social networks, covering modularity algorithms and community detection.
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