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pro vyhledávání: '"Nazi, Azade"'
Learning graph generative models is a challenging task for deep learning and has wide applicability to a range of domains like chemistry, biology and social science. However current deep neural methods suffer from limited scalability: for a graph wit
Externí odkaz:
http://arxiv.org/abs/2006.15502
Autor:
Mirhoseini, Azalia, Goldie, Anna, Yazgan, Mustafa, Jiang, Joe, Songhori, Ebrahim, Wang, Shen, Lee, Young-Joon, Johnson, Eric, Pathak, Omkar, Bae, Sungmin, Nazi, Azade, Pak, Jiwoo, Tong, Andy, Srinivasa, Kavya, Hang, William, Tuncer, Emre, Babu, Anand, Le, Quoc V., Laudon, James, Ho, Richard, Carpenter, Roger, Dean, Jeff
In this work, we present a learning-based approach to chip placement, one of the most complex and time-consuming stages of the chip design process. Unlike prior methods, our approach has the ability to learn from past experience and improve over time
Externí odkaz:
http://arxiv.org/abs/2004.10746
We introduce a novel end-to-end approach for learning to cluster in the absence of labeled examples. Our clustering objective is based on optimizing normalized cuts, a criterion which measures both intra-cluster similarity as well as inter-cluster di
Externí odkaz:
http://arxiv.org/abs/1910.07623
Graph partitioning is the problem of dividing the nodes of a graph into balanced partitions while minimizing the edge cut across the partitions. Due to its combinatorial nature, many approximate solutions have been developed, including variants of mu
Externí odkaz:
http://arxiv.org/abs/1903.00614
Selecting the best items in a dataset is a common task in data exploration. However, the concept of "best" lies in the eyes of the beholder: different users may consider different attributes more important, and hence arrive at different rankings. Nev
Externí odkaz:
http://arxiv.org/abs/1802.10303
Peer to peer marketplaces such as AirBnB enable transactional exchange of services directly between people. In such platforms, those providing a service (hosts in AirBnB) are faced with various choices. For example in AirBnB, although some amenities
Externí odkaz:
http://arxiv.org/abs/1705.03028
The widespread use of online review sites over the past decade has motivated businesses of all types to possess an expansive arsenal of user feedback to mark their reputation. Though a significant proportion of purchasing decisions are driven by aver
Externí odkaz:
http://arxiv.org/abs/1602.06454
In this paper, we introduce a novel, general purpose, technique for faster sampling of nodes over an online social network. Specifically, unlike traditional random walk which wait for the convergence of sampling distribution to a predetermined target
Externí odkaz:
http://arxiv.org/abs/1410.7833
Akademický článek
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Publikováno v:
In Pervasive and Mobile Computing August 2014 13:246-257