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Are Graph Neural Networks (GNNs) fair? In many real world graphs, the formation of edges is related to certain node attributes (e.g.
Numerical linear algebra , volume 50
L. N. Trefethen and D. Bau III · 1997
Earlier work this paper cites.
The political blogosphere and the 2004 US election: divided they blog
L. A. Adamic and N. Glance · 2005
Earlier work this paper cites.
Preventing shilling attacks in online recommender systems
P.-A. Chirita, W. Nejdl, and C. Zamfir · 2005
Earlier work this paper cites.
Combining content and link for classification using matrix factorization
S. Zhu, K. Yu, Y. Chi, and Y. Gong · 2007
Earlier work this paper cites.
Software Framework for Topic Modelling with Large Corpora
R. Řehůřek and P. Sojka · 2010
Earlier work this paper cites.
Libsvm: A library for support vector machines
C.-C. Chang and C.-J. Lin · 2011
Earlier work this paper cites.
Adaptive subgradient methods for online learning and stochastic optimization
J. Duchi, E. Hazan, and Y. Singer · 2011
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean · 2013
Earlier work this paper cites.
The graph-tool python library
T. P. Peixoto · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
J. Pennington, R. Socher, and C. Manning · 2014
Earlier work this paper cites.
Deepwalk: Online learning of social representations
B. Perozzi, R. Al-Rfou, and S. Skiena · 2014
Earlier work this paper cites.
Rejecting the gender binary: a vector-space operation
B. Schmidt · 2015
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
Convolutional neural networks on graphs with fast localized spectral filtering
M. Defferrard, X. Bresson, and P. Vandergheynst · 2016
Cited alongside, same era.
node2vec: Scalable Feature Learning for Networks
A. Grover and J. Leskovec · 2016
Cited alongside, same era.
Ppne: property preserving network embedding
C. Li, S. Wang, D. Yang, Z. Li, Y. Yang, X. Zhang, and J. Zhou · 2017
Later among the works it cites.
The ground truth about metadata and community detection in networks
L. Peel, D. B. Larremore, and A. Clauset · 2017
Later among the works it cites.
A tutorial on network embeddings
H. Chen, B. Perozzi, R. Al-Rfou, and S. Skiena · 2018
Later among the works it cites.
A survey on network embedding
P. Cui, X. Wang, J. Pei, and W. Zhu · 2018
Later among the works it cites.
Enhancing network embedding with auxiliary information: An explicit matrix factorization perspective
J. Guo, L. Xu, X. Huang, and E. Chen · 2018
Later among the works it cites.
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
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Cited alongside, same era.
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Cited in the paper.
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Later among the works it cites.
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Later among the works it cites.
MixHop: Higher-order graph convolutional architectures via sparsified neighborhood mixing
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