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Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic … Pittsburgh, PA 15213 yww@cs.cmu.edu Kathryn Mazaitis

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ukang@cs.kaist.ac.kr. 2 Carnegie Mellon University, Pittsburgh PA 15213, USA … in YahooWeb graph. 3. Correlation plot of graph features including in-degree vs. out-degree, degree vs. triangle, and degree vs. pagerank. For instance, Fig. 1(c) shows the correlation plots between degree and Triangles of Twitter graph.

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To the best of our knowledge, PEGASUS is the first such library, implemented on the top of the hadoop platform, the open source version of MapReduce. Many graph mining operations (PageRank, spectral clustering, diameter estimation, connected components etc.) are essentially a repeated matrix-vector multiplication.

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Jul 31, 2015 … Pittsburgh, PA, USA u901571@gmail.com. Mei-Hua Chen. FLL. Tunghai University. Taichung, Taiwan chen.meihua@gmail.com. Ping-Che Yang. Institute for …. PageRank graphs. The bilinguality is to help predict better keywords taking into account the perspectives of the languages involved including.

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Nov 1, 2012 … E. Tsourakakis is with Carnegie Mellon University, Pittsburgh, PA, USA (ctsourak @math.cmu.edu) – work performed while an intern with Microsoft … graph partitioner while solving standard PageRank compu- tation in a graph … data such as com- puting PageRank and its variations [48], shortest path and.

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Carnegie Mellon University. Pittsburgh, PA 15213, USA jdunietz@cs.cmu.edu. Dan Gillick …. tion of PageRank (Page et al., 1999) to a graph of connected entities, in the spirit of Erkan and. Radev's work … a local PageRank computation on the entity graph. 4.1 PageRank for computing centrality. In the weighted version of …

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Google assigns a numeric weighting from 0-10 for each webpage on the Internet; this PageRank denotes your site's importance in the eyes of Google.

Machine Learning Department, Carnegie Mellon University, 5000 Forbes Avenue , Pittsburgh, PA 15213. Andrew W. Moore awm@google.com … niques outperform Personalized Pagerank, a well-known diffusion based proximity … alized page-rank vectors (PPV) have been used for keyword search in databases (Balmin et …

Aug 31, 2015 … Pittsburgh, PA christos@cs.cmu.edu. ABSTRACT. Given a large graph with several millions or billions of nodes and edges, such as a social network, how can we explore it efficiently and find out what is in the data … degree, PageRank, real eigenvectors) by performing scal- able, o✏ine batch processing on …

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Pittsburgh, PA. ABSTRACT. We propose a recommender system which exploits relations present between entities appearing in content from user's history and enti- … of Personalized PageRank, to rank candidate content. We test our approach … both the PageRank of each entity and its Personalized PageRank. ( PPR) [3].

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