Representing higher-order dependencies in networks

Science Advances

Volumn 2, Issue 5, 2016, Pages

  Xu, Jian ^a,b   Wickramarathne, Thanuka L ^a,b   Chawla, Nitesh V ^a,b  

^a University of Notre Dame   (United States)

^b UNIVERSITY OF NOTRE DAME   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

RANDOM PROCESSES;

EMPIRICAL EVALUATIONS; FIRST-ORDER DEPENDENCY; GLOBAL SHIPPING; HIGHER ORDER NETWORKS; MARKOV PROPERTY; NETWORK REPRESENTATION; SEQUENTIAL DATA; VARIABLE ORDER;

COMPLEX NETWORKS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CLUSTER ANALYSIS; DATA MINING; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; DATA MINING; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS;

EID: 84986299897     PISSN: None     EISSN: 23752548     Source Type: Journal    
DOI: 10.1126/sciadv.1600028     Document Type: Article

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