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Graph embedding methods represent nodes in a continuous vector space, preserving information from the graph (e.g.
Laplacian eigenmaps for dimensionality reduction and data representation
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Biogrid: A general repository for interaction datasets
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Fast random walk with restart and its applications
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Spectral networks and deep locally connected networks on graphs
J. Bruna, W. Zaremba, A. Szlam, and Y. LeCun · 2013
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Distributed representations of words and phrases and their compositionality
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Glove: Global vectors for word representation
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Deepwalk: Online learning of social representations
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Neural machine translation by jointly learning to align and translate
D. Bahdanau, K. Cho, and Y. Bengio · 2015
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Learning deep structured models
L.-C. Chen, A. Schwing, A. Yuille, and R. Urtasun · 2015
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Convolutional networks on graphs for learning molecular fingerprints
D. Duvenaud, D. Maclaurin, J. Iparraguirre, R. Bombarell, T. Hirzel, A. Aspuru-Guzik, and R. Adams · 2015
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Deep convolutional networks on graph-structured data
M. Henaff, J. Bruna, and Y. LeCun · 2015
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Improving distributional similarity with lessons learned from word embeddings
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Context-dependent knowledge graph embedding
Y. Luo, Q. Wang, B. Wang, and L. Guo · 2015
Author2vec: Learning author representations by combining content and link information
G. J, S. Ganguly, M. Gupta, V. Varma, and V. Pudi · 2016
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Gated graph sequence neural networks
Y. Li, D. Tarlow, M. Brockschmidt, and R. Zemel · 2016
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Learning convolutional neural networks for graphs
M. Niepert, M. Ahmed, and K. Kutzkov · 2016
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Detecting events and key actors in multi-person videos
V. Ramanathan, J. Huang, S. Abu-El-Haija, A. Gorban, K. Murphy, and L. Fei-Fei · 2016
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Structural deep network embedding
D. Wang, P. Cui, and W. Zhu · 2016
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Proportionate gradient updates with percentdelta
S. Abu-El-Haija · 2017
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Diffusion-convolutional neural networks
J. Atwood and D. Towsley · 2016
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Deep neural networks for learning graph representations
S. Cao, W. Lu, and Q. Xu · 2016
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Discriminative embeddings of latent variable models for structured data
H. Dai, B. Dai, and L. Song · 2016
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Convolutional neural networks on graphs with fast localized spectral filtering
M. Defferrard, X. Bresson, and P. Vandergheynst · 2016
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node2vec: Scalable feature learning for networks
A. Grover and J. Leskovec · 2016
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Inductive representation learning on large graphs
W. Hamilton, R. Ying, and J. Leskovec
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Learning edge representations via low-rank asymmetric projections
S. Abu-El-Haija, B. Perozzi, and R. Al-Rfou · 2017
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Geometric deep learning: going beyond euclidean data
M. M. Bronstein, J. Bruna, Y. LeCun, A. Szlam, and P. Vandergheynst · 2017
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Semi-supervised classification with graph convolutional networks
T. N. Kipf and M. Welling · 2017
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Graph attention networks
P. Veličković, G. Cucurull, A. Casanova, A. Romero, P. Liò, and Y. Bengio · 2018
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