Graph Attention Networks. - Google Scholar Metrics

Articles citing Graph Attention Networks.

Title / Author	Year
Semi-supervised classification with graph convolutional networks TN Kipf, M Welling arXiv preprint arXiv:1609.02907	2016
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 32 (1), 4-24	2020
How powerful are graph neural networks? K Xu, W Hu, J Leskovec, S Jegelka arXiv preprint arXiv:1810.00826	2018
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
Graph neural networks: A review of methods and applications J Zhou, G Cui, S Hu, Z Zhang, C Yang, Z Liu, L Wang, C Li, M Sun AI Open 1, 57-81	2020
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
Gradient episodic memory for continual learning D Lopez-Paz, MA Ranzato Advances in neural information processing systems 30, 6467-6476	2017
Self-attention with relative position representations P Shaw, J Uszkoreit, A Vaswani arXiv preprint arXiv:1803.02155	2018
Representation learning on graphs with jumping knowledge networks K Xu, C Li, Y Tian, T Sonobe, K Kawarabayashi, S Jegelka International Conference on Machine Learning, 5453-5462	2018
Deep learning on graphs: A survey Z Zhang, P Cui, W Zhu IEEE Transactions on Knowledge and Data Engineering	2020
Graph convolutional networks for text classification L Yao, C Mao, Y Luo Proceedings of the AAAI conference on artificial intelligence 33 (01), 7370-7377	2019
Hierarchical graph representation learning with differentiable pooling R Ying, J You, C Morris, X Ren, WL Hamilton, J Leskovec arXiv preprint arXiv:1806.08804	2018
Heterogeneous graph attention network X Wang, H Ji, C Shi, B Wang, Y Ye, P Cui, PS Yu The World Wide Web Conference, 2022-2032	2019
Neural graph collaborative filtering X Wang, X He, M Wang, F Feng, TS Chua Proceedings of the 42nd international ACM SIGIR conference on Research and …	2019
Gcnet: Non-local networks meet squeeze-excitation networks and beyond Y Cao, J Xu, S Lin, F Wei, H Hu Proceedings of the IEEE/CVF International Conference on Computer Vision …	2019
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
Deep Graph Infomax. P Velickovic, W Fedus, WL Hamilton, P Liò, Y Bengio, RD Hjelm ICLR (Poster) 2 (3), 4	2019
Kgat: Knowledge graph attention network for recommendation X Wang, X He, Y Cao, M Liu, TS Chua Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …	2019
Neural relational inference for interacting systems T Kipf, E Fetaya, KC Wang, M Welling, R Zemel International Conference on Machine Learning, 2688-2697	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

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