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We present DeepWalk, a novel approach for learning latent representations of vertices in a network.
An information flow modelfor conflict and fission in small groups1
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Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation
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Graph kernels
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It’s who you know: Graph mining using recursive structural features
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Hogwild: A lock-free approach to parallelizing stochastic gradient descent
B. Recht, C. Re, S. Wright, and F. Niu · 2011
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Leveraging social media networks for classification
L. Tang and H. Liu · 2011
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Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition
G. E. Dahl, D. Yu, L. Deng, and A. Acero · 2012
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Using ghost edges for classification in sparsely labeled networks
B. Gallagher, H. Tong, T. Eliassi-Rad, and C. Faloutsos · 2008
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A bias/variance decomposition for models using collective inference
J. Neville and D. Jensen · 2008
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Collective classification in network data
P. Sen, G. Namata, M. Bilgic, L. Getoor, B. Galligher, and T. Eliassi-Rad · 2008
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Anomaly detection: A survey
V. Chandola, A. Banerjee, and V. Kumar · 2009
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A scalable hierarchical distributed language model
A. Mnih and G. E. Hinton · 2009
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Relational learning via latent social dimensions
L. Tang and H. Liu · 2009
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Large scale distributed deep networks
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Fast random walk graph kernel
U. Kang, H. Tong, and J. Sun · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Representation learning: A review and new perspectives
Y. Bengio, A. Courville, and P. Vincent · 2013
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Efficient estimation of word representations in vector space
T. Mikolov, K. Chen, G. Corrado, and J. Dean · 2013
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Distributed representations of words and phrases and their compositionality
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Linguistic regularities in continuous space word representations
T. Mikolov, W.-t. Yih, and G. Zweig · 2013
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Multi-label relational neighbor classification using social context features
X. Wang and G. Sukthankar · 2013
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