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Graphics Core Next

Known as: Polaris (microarchitecture), Asynchronous Compute Engine, GCN 1.0 
Graphics Core Next (GCN) is the codename for both a series of microarchitectures as well as for an instruction set. GCN was developed by AMD for… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Recent advancements in deep neural networks for graph-structured data have led to state-of-the-art performance on recommender… Expand
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Highly Cited
2018
Highly Cited
2018
Dynamics of human body skeletons convey significant information for human action recognition. Conventional approaches for… Expand
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Highly Cited
2018
Highly Cited
2018
The graph convolutional networks (GCN) recently proposed by Kipf and Welling are an effective graph model for semi-supervised… Expand
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Highly Cited
2018
Highly Cited
2018
Link prediction for knowledge graphs is the task of predicting missing relationships between entities. Previous work on link… Expand
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Highly Cited
2018
Highly Cited
2018
Many interesting problems in machine learning are being revisited with new deep learning tools. For graph-based semisupervised… Expand
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Highly Cited
2018
Highly Cited
2018
We consider the problem of zero-shot recognition: learning a visual classifier for a category with zero training examples, just… Expand
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Highly Cited
2018
Highly Cited
2018
It is always well believed that modeling relationships between objects would be helpful for representing and eventually… Expand
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Highly Cited
2017
Highly Cited
2017
Semantic role labeling (SRL) is the task of identifying the predicate-argument structure of a sentence. It is typically regarded… Expand
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Highly Cited
1982
Highly Cited
1982
O(k log n) algorithms are obtained to permute and sort n data items on cube and perfect shuffle computers with n/sup 1+1/k… Expand
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Highly Cited
1963
Highly Cited
1963
G(n) sei ein Graph mit n Knotenpunkten; Knotenpunkte van Gcn) werden mit x1, . . . , y, . . . , Kanten werden mit, (z,, x… Expand
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