Jennifer Neville
Purdue University
Professor
Department of Computer Science
Department of Statistics
Research Area
#Computer science#Artificial intelligence#Theoretical computer science#Machine learning#Data mining#Mathematics#Inference#Social network#Statistical relational learning#Graph (abstract data type)
SCIE paper information
Papers relevant to ‘Computer science’: 5
Research performance of SCIE papers matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Variational Random Function Model for Network Modeling
2019/01 IEEE TRANSACTIONS ON NEURAL NETWORKS 2.769 Impact Factor 7 citations
Tied Kronecker Product Graph Models to Capture Variance in Network Populations
2018/03 ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA 2.538 Impact Factor 4 citations
Papers for author ‘Jennifer Neville’: 6
Number of published SCIE papers by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Graphlet decomposition: framework, algorithms, and applications
2017/03 KNOWLEDGE AND INFORMATION SYSTEMS 2.247 Impact Factor 60 citations
Variational Random Function Model for Network Modeling
2019/01 IEEE TRANSACTIONS ON NEURAL NETWORKS 2.769 Impact Factor 7 citations
conference information
Papers relevant to ‘Computer science’: 17
Research performance of Top-tier Conference matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Efficient Graphlet Counting for Large Networks
2015/11 ICDM Top-tier Conference 193 citations
Attributed graph models: modeling network structure with correlated attributes
2014/04 WWW Top-tier Conference 103 citations
Papers for author ‘Jennifer Neville’: 23
Number of published Top-tier Conference by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Efficient Graphlet Counting for Large Networks
2015/11 ICDM Top-tier Conference 193 citations
Graph sample and hold: a framework for big-graph analytics
2014/08 KDD Top-tier Conference 115 citations
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