Graph Attention Networks. - Google Scholar Metrics

Articles citing Graph Attention Networks.

Title / Author	Year
Dynamic graph cnn for learning on point clouds Y Wang, Y Sun, Z Liu, SE Sarma, MM Bronstein, JM Solomon Acm Transactions On Graphics (tog) 38 (5), 1-12	2019
How powerful are graph neural networks? K Xu, W Hu, J Leskovec, S Jegelka arXiv preprint arXiv:1810.00826	2018
A comprehensive survey on graph neural networks Z Wu, S Pan, F Chen, G Long, C Zhang, SY Philip IEEE Transactions on Neural Networks and Learning Systems	2020
Graph neural networks: A review of methods and applications J Zhou, G Cui, Z Zhang, C Yang, Z Liu, L Wang, C Li, M Sun arXiv preprint arXiv:1812.08434	2018
Self-attention with relative position representations P Shaw, J Uszkoreit, A Vaswani arXiv preprint arXiv:1803.02155	2018
Attention u-net: Learning where to look for the pancreas O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ... arXiv preprint arXiv:1804.03999	2018
Representation learning on graphs with jumping knowledge networks K Xu, C Li, Y Tian, T Sonobe, K Kawarabayashi, S Jegelka arXiv preprint arXiv:1806.03536	2018
Hierarchical graph representation learning with differentiable pooling Z Ying, J You, C Morris, X Ren, W Hamilton, J Leskovec Advances in neural information processing systems, 4800-4810	2018
Graph r-cnn for scene graph generation J Yang, J Lu, S Lee, D Batra, D Parikh Proceedings of the European conference on computer vision (ECCV), 670-685	2018
Neural relational inference for interacting systems T Kipf, E Fetaya, KC Wang, M Welling, R Zemel arXiv preprint arXiv:1802.04687	2018
Cayleynets: Graph convolutional neural networks with complex rational spectral filters R Levie, F Monti, X Bresson, MM Bronstein IEEE Transactions on Signal Processing 67 (1), 97-109	2018
Graph convolutional networks for text classification L Yao, C Mao, Y Luo Proceedings of the AAAI Conference on Artificial Intelligence 33, 7370-7377	2019
Large-scale learnable graph convolutional networks H Gao, Z Wang, S Ji Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …	2018
Deep learning on graphs: A survey Z Zhang, P Cui, W Zhu IEEE Transactions on Knowledge and Data Engineering	2020
Gaan: Gated attention networks for learning on large and spatiotemporal graphs J Zhang, X Shi, J Xie, H Ma, I King, DY Yeung arXiv preprint arXiv:1803.07294	2018
Deep Graph Infomax. P Velickovic, W Fedus, WL Hamilton, P Liò, Y Bengio, RD Hjelm ICLR (Poster)	2019
Commonsense Knowledge Aware Conversation Generation with Graph Attention. H Zhou, T Young, M Huang, H Zhao, J Xu, X Zhu IJCAI, 4623-4629	2018
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Y Bengio, A Lodi, A Prouvost arXiv preprint arXiv:1811.06128	2018
Stochastic training of graph convolutional networks with variance reduction J Chen, J Zhu, L Song arXiv preprint arXiv:1710.10568	2017
Gcnet: Non-local networks meet squeeze-excitation networks and beyond Y Cao, J Xu, S Lin, F Wei, H Hu Proceedings of the IEEE International Conference on Computer Vision …	2019

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