Graph transformer-convolution network for graph classification

Faculty Opinions recommendation of Graph classification using signal-subgraphs: applications in statistical connectomics.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718215277.793488381 ◽

2013 ◽

Author(s):

Konrad Kording

Keyword(s):

Graph Classification

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Data Augmentation for Graph Classification

Proceedings of the 29th ACM International Conference on Information & Knowledge Management ◽

10.1145/3340531.3412086 ◽

2020 ◽

Author(s):

Jiajun Zhou ◽

Jie Shen ◽

Qi Xuan

Keyword(s):

Data Augmentation ◽

Graph Classification

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Defragging Subgraph Features for Graph Classification

Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15 ◽

10.1145/2806416.2806585 ◽

2015 ◽

Cited By ~ 7

Author(s):

Haishuai Wang ◽

Peng Zhang ◽

Ivor Tsang ◽

Ling Chen ◽

Chengqi Zhang

Keyword(s):

Graph Classification

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Graph classification based on structural features of significant nodes and spatial convolutional neural networks

Neurocomputing ◽

10.1016/j.neucom.2020.10.060 ◽

2021 ◽

Vol 423 ◽

pp. 639-650

Author(s):

Tinghuai Ma ◽

Hongmei Wang ◽

Lejun Zhang ◽

Yuan Tian ◽

Najla Al-Nabhan

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Structural Features ◽

Graph Classification

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Toward graph classification on structure property using adaptive motif based on graph convolutional network

The Journal of Supercomputing ◽

10.1007/s11227-021-03628-4 ◽

2021 ◽

Author(s):

Xingquan Li ◽

Hongxi Wu

Keyword(s):

Graph Classification ◽

Structure Property ◽

Convolutional Network

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gBoost: a mathematical programming approach to graph classification and regression

Machine Learning ◽

10.1007/s10994-008-5089-z ◽

2008 ◽

Vol 75 (1) ◽

pp. 69-89 ◽

Cited By ~ 76

Author(s):

Hiroto Saigo ◽

Sebastian Nowozin ◽

Tadashi Kadowaki ◽

Taku Kudo ◽

Koji Tsuda

Keyword(s):

Mathematical Programming ◽

Programming Approach ◽

Graph Classification ◽

Mathematical Programming Approach ◽

Classification And Regression

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Active and Semi-supervised Graph Neural Networks for Graph Classification

IEEE Transactions on Big Data ◽

10.1109/tbdata.2021.3140205 ◽

2022 ◽

pp. 1-1

Author(s):

Yu Xie ◽

Shengze Lv ◽

Yuhua Qian ◽

Chao Wen ◽

Jiye Liang

Keyword(s):

Neural Networks ◽

Graph Classification ◽

Graph Neural Networks

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Graph Classification in Heterogeneous Networks

Encyclopedia of Social Network Analysis and Mining ◽

10.1007/978-1-4939-7131-2_176 ◽

2018 ◽

pp. 958-965

Author(s):

Xiangnan Kong ◽

Philip S. Yu

Keyword(s):

Heterogeneous Networks ◽

Graph Classification

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PPGCN: A Message Selection Based Approach for Graph Classification

Communications in Computer and Information Science - Neural Information Processing ◽

10.1007/978-3-030-36808-1_13 ◽

2019 ◽

pp. 112-121

Author(s):

Xinyang Liu ◽

Zheng Liu ◽

Yanwen Qu

Keyword(s):

Graph Classification

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The Extension of Graph Convolutional Neural Network with Capsule Network for Graph Classification

International Journal of Advanced Engineering Research and Science ◽

10.22161/ijaers.6.1.11 ◽

2019 ◽

Vol 6 (1) ◽

pp. 79-84 ◽

Cited By ~ 1

Author(s):

Jean de DIEU TUGIRIMANA ◽

Janvier RULINDA ◽

Antoine NZARAMBA

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Graph Classification

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