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Graph convolutional networks (GCNs) have been successfully applied in node classification tasks of network mining.
A multilevel algorithm for partitioning graphs
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A fast and high quality multilevel scheme for partitioning irregular graphs
George Karypis and Vipin Kumar · 1998
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The Graph Neural Network Model
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini · 2009
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A survey and taxonomy of graph sampling
Pili Hu and Wing Cheong Lau · 2013
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Sampling online social networks
Manos Papagelis, Gautam Das, and Nick Koudas · 2013
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Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun · 2014
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Deepwalk: Online learning of social representations
Bryan Perozzi, Rami Al-Rfou, and Steven Skiena · 2014
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Multi-threaded modularity based graph clustering using the multilevel paradigm
Dominique LaSalle and George Karypis · 2015
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Convolutional neural networks on graphs with fast localized spectral filtering
Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst · 2016
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Node2vec: Scalable feature learning for networks
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Deep residual learning for image recognition
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Zhilin Yang, William Cohen, and Ruslan Salakhudinov · 2016
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Visual analysis of large heterogeneous network through interactive centrality based sampling
Haibo Chen, Jianfei Zhao, Xiaoji Chen, Ding Xiao, and Chuan Shi · 2017
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Inductive representation learning on large graphs
William L. Hamilton, Zhitao Ying, and Jure Leskovec · 2017
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Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling · 2017
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Geometric deep learning on graphs and manifolds using mixture model cnns
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MILE: A Multi-Level Framework for Scalable Graph Embedding
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Graph attention networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio · 2018
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Representation learning on graphs with jumping knowledge networks
Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, and Stefanie Jegelka · 2018
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Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
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Hierarchical graph representation learning with differentiable pooling
Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, Will Hamilton, and Jure Leskovec · 2018
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Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
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Harp: Hierarchical representation learning for networks
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SplineCNN: Fast geometric deep learning with continuous B-spline kernels
Matthias Fey, Jan Eric Lenssen, Frank Weichert, and Heinrich Müller · 2018
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Large-scale learnable graph convolutional networks
Hongyang Gao, Zhengyang Wang, and Shuiwang Ji · 2018
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Deeper insights into graph convolutional networks for semi-supervised learning
Qimai Li, Zhichao Han, and Xiao ming Wu · 2018
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Bing Yu, Haoteng Yin, and Zhanxing Zhu · 2018
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Dual graph convolutional networks for graph-based semi-supervised classification
Chenyi Zhuang and Qiang Ma · 2018
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Dressing as a whole: Outfit compatibility learning based on node-wise graph neural networks
Zeyu Cui, Zekun Li, Shu Wu, Xiao-Yu Zhang, and Liang Wang · 2019
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Session-based recommendation with graph neural networks
Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, and Tieniu Tan · 2019
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