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Jure Leskovec
Jure Leskovec
Professor of Computer Science, Stanford University
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
Inductive representation learning on large graphs
W Hamilton, Z Ying, J Leskovec
Advances in neural information processing systems 30, 2017
152832017
node2vec: Scalable feature learning for networks
A Grover, J Leskovec
Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016
119952016
How powerful are graph neural networks?
K Xu, W Hu, J Leskovec, S Jegelka
arXiv preprint arXiv:1810.00826, 2018
76542018
SNAP Datasets: Stanford large network dataset collection
J Leskovec, A Krevl
44352014
Friendship and mobility: user movement in location-based social networks
E Cho, SA Myers, J Leskovec
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
36522011
Graph convolutional neural networks for web-scale recommender systems
R Ying, R He, K Chen, P Eksombatchai, WL Hamilton, J Leskovec
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
36202018
Graph evolution: Densification and shrinking diameters
J Leskovec, J Kleinberg, C Faloutsos
ACM transactions on Knowledge Discovery from Data (TKDD) 1 (1), 2-es, 2007
32932007
Graphs over time: densification laws, shrinking diameters and possible explanations
J Leskovec, J Kleinberg, C Faloutsos
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
32642005
The dynamics of viral marketing
J Leskovec, LA Adamic, BA Huberman
ACM Transactions on the Web (TWEB) 1 (1), 5-es, 2007
32112007
Cost-effective outbreak detection in networks
J Leskovec, A Krause, C Guestrin, C Faloutsos, J VanBriesen, N Glance
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
31052007
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
30482021
Mining of massive data sets
J Leskovec, A Rajaraman, JD Ullman
Cambridge university press, 2020
27112020
Defining and evaluating network communities based on ground-truth
J Yang, J Leskovec
Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics, 1-8, 2012
25192012
Learning to discover social circles in ego networks
J Leskovec, J Mcauley
Advances in neural information processing systems 25, 2012
25002012
Representation learning on graphs: Methods and applications
WL Hamilton, R Ying, J Leskovec
arXiv preprint arXiv:1709.05584, 2017
23762017
Open graph benchmark: Datasets for machine learning on graphs
W Hu, M Fey, M Zitnik, Y Dong, H Ren, B Liu, M Catasta, J Leskovec
Advances in neural information processing systems 33, 22118-22133, 2020
23712020
Community structure in large networks: Natural cluster sizes and the absence of large well-defined clusters
J Leskovec, KJ Lang, A Dasgupta, MW Mahoney
Internet Mathematics 6 (1), 29-123, 2009
23322009
Hidden factors and hidden topics: understanding rating dimensions with review text
J McAuley, J Leskovec
Proceedings of the 7th ACM conference on Recommender systems, 165-172, 2013
21312013
Meme-tracking and the dynamics of the news cycle
J Leskovec, L Backstrom, J Kleinberg
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
20762009
Predicting positive and negative links in online social networks
J Leskovec, D Huttenlocher, J Kleinberg
Proceedings of the 19th international conference on World wide web, 641-650, 2010
19422010
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