Higher-Order Graph Analytics: Models, Algorithms and Applications

RAIDS Lab Authors

Zhengyi Yang

(corresponding author)

Director

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Abstract

This book presents a systematic guide to higher-order graph analytics across heterogeneous information networks, temporal graphs, multilayer graphs, and hypergraphs. It connects foundational models and problem formulations with algorithms and real-world applications, covering tasks such as centrality, community detection, cohesive subgraph analysis, traversal, and pattern matching.

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