CSCI 6900: Mining Massive Datasets Shannon Quinn (with thanks to William Cohen of Carnegie Mellon...

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Jure Leskovec, CMU Eric Horwitz, Microsoft Research.

Jure Leskovec, CMU Eric Horwitz, Microsoft Research.

Leskovec - Stanford Universityweb.stanford.edu/class/cs345a/slides/01-intro.pdfwill be fast paced 1/5/2010 Jure Leskovec, Stanford CS345a: ... Minhashing, Locality ... Topic ‐specific

Leskovec - Stanford Universityweb.stanford.edu/class/cs345a/slides/01-intro.pdfwill be fast paced 1/5/2010 Jure Leskovec, Stanford CS345a: ... Minhashing, Locality ... Topic ‐specific

Jure Leskovec (@jure)jure/talks/networks-icdm-dec12.pdf · Predict group evolution over time [Kairam, Wang, L. ‘ ] [Ducheneaut, Yee, Nickell, Moore ‘] Modeling circles of non-friends

Jure Leskovec (@jure)jure/talks/networks-icdm-dec12.pdf · Predict group evolution over time [Kairam, Wang, L. ‘ ] [Ducheneaut, Yee, Nickell, Moore ‘] Modeling circles of non-friends

Jure Leskovec (Stanford) Kevin Lang (Yahoo! Research) Michael Mahoney (Stanford)

Jure Leskovec (Stanford) Kevin Lang (Yahoo! Research) Michael Mahoney (Stanford)

CS246: Mining Massive Datasets Jure Leskovec, ...

CS246: Mining Massive Datasets Jure Leskovec, ...

Jure Leskovec Machine Learning Department Carnegie Mellon University.

Jure Leskovec Machine Learning Department Carnegie Mellon University.

Manuel Gomez Rodriguez 1,2 Jure Leskovec 1 Andreas Krause 3

Manuel Gomez Rodriguez 1,2 Jure Leskovec 1 Andreas Krause 3

The Hive Think Tank: Machine Learning at Pinterest by Jure Leskovec

The Hive Think Tank: Machine Learning at Pinterest by Jure Leskovec

Jure Leskovec (@jure) - Stanford University...Jure Leskovec, ICDM 2012 2 Networks allow for modeling dependencies! Jure Leskovec, ICDM 2012 3 Networks are a general language for describing

Jure Leskovec (@jure) - Stanford University...Jure Leskovec, ICDM 2012 2 Networks allow for modeling dependencies! Jure Leskovec, ICDM 2012 3 Networks are a general language for describing

Modeling Real Graphs using Kronecker Multiplication Jure Leskovec, Christos Faloutsos Machine Learning Department.

Modeling Real Graphs using Kronecker Multiplication Jure Leskovec, Christos Faloutsos Machine Learning Department.

CS224W: Machine Learning with Graphs Jure Leskovec, Weihua ...web.stanford.edu/class/cs224w/slides/18-limitations.pdf · 12/3/19 Jure Leskovec, Stanford CS224W: Machine Learning with

CS224W: Machine Learning with Graphs Jure Leskovec, Weihua ...web.stanford.edu/class/cs224w/slides/18-limitations.pdf · 12/3/19 Jure Leskovec, Stanford CS224W: Machine Learning with

Jure Leskovec Machine Learning Department Carnegie …Jure Leskovec. Machine Learning Department. Carnegie Mellon University. Thesis defense,September 3 2008 Today: Large on‐line

Jure Leskovec Machine Learning Department Carnegie …Jure Leskovec. Machine Learning Department. Carnegie Mellon University. Thesis defense,September 3 2008 Today: Large on‐line

1 Dynamics of Real-world Networks Jure Leskovec Machine Learning Department Carnegie Mellon University jure@cs.cmu.edu jure.

1 Dynamics of Real-world Networks Jure Leskovec Machine Learning Department Carnegie Mellon University [email protected] jure.

CS224W: Social and Information Network Analysis Jure Leskovec, Stanford University .

CS224W: Social and Information Network Analysis Jure Leskovec, Stanford University .

KDD 2005 Review Session Jure Leskovec. Query Incentive Networks Jon Kleinberg Prabhakar Raghavan.

KDD 2005 Review Session Jure Leskovec. Query Incentive Networks Jon Kleinberg Prabhakar Raghavan.

Thanks to Jure Leskovec, Stanford and Panayiotis Tsaparas ...

Thanks to Jure Leskovec, Stanford and Panayiotis Tsaparas ...

Jure Leskovec, CMU Kevin Lang, Anirban Dasgupta and Michael Mahoney Yahoo! Research.

Jure Leskovec, CMU Kevin Lang, Anirban Dasgupta and Michael Mahoney Yahoo! Research.

Jure Leskovec (jure@cs.stanford.edu) Computer Science Department Cornell University / Stanford University Joint work with: Eric Horvitz, Michael Mahoney,

Jure Leskovec ([email protected]) Computer Science Department Cornell University / Stanford University Joint work with: Eric Horvitz, Michael Mahoney,

Lecture 26 Network dynamics Slides are modified from Lada Adamic and Jure Leskovec.

Lecture 26 Network dynamics Slides are modified from Lada Adamic and Jure Leskovec.

Thanks to Jure Leskovec, Stanford and Panayiotis Tsaparas ...papaggel/courses/eecs6413/docs/lectur… · Thanks to Jure Leskovec, Stanford and Panayiotis Tsaparas, Univ. of Ioannina

Thanks to Jure Leskovec, Stanford and Panayiotis Tsaparas ...papaggel/courses/eecs6413/docs/lectur… · Thanks to Jure Leskovec, Stanford and Panayiotis Tsaparas, Univ. of Ioannina