Sledovat
Jure Leskovec
Jure Leskovec
Professor of Computer Science, Stanford University
E-mailová adresa ověřena na: cs.stanford.edu - Domovská stránka
Název
Citace
Citace
Rok
Inductive representation learning on large graphs
W Hamilton, Z Ying, J Leskovec
Advances in neural information processing systems 30, 2017
144962017
node2vec: Scalable feature learning for networks
A Grover, J Leskovec
Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016
116322016
How powerful are graph neural networks?
K Xu, W Hu, J Leskovec, S Jegelka
arXiv preprint arXiv:1810.00826, 2018
71872018
SNAP Datasets: Stanford large network dataset collection
J Leskovec, A Krevl
43302014
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
36052011
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
34692018
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
32532007
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
32342005
The dynamics of viral marketing
J Leskovec, LA Adamic, BA Huberman
ACM Transactions on the Web (TWEB) 1 (1), 5-es, 2007
31752007
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
30722007
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
26632021
Mining of massive data sets
J Leskovec, A Rajaraman, JD Ullman
Cambridge university press, 2020
26622020
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
24722012
Learning to discover social circles in ego networks
J Leskovec, J Mcauley
Advances in neural information processing systems 25, 2012
24512012
Representation learning on graphs: Methods and applications
WL Hamilton, R Ying, J Leskovec
arXiv preprint arXiv:1709.05584, 2017
23142017
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
23112009
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
22152020
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
20892013
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
20592009
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
19212010
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Články 1–20