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[1] Hans-Peter Kriegel,et al. Protein function prediction via graph kernels , 2005, ISMB.
[2] Pierre Vandergheynst,et al. Geometric Deep Learning: Going beyond Euclidean data , 2016, IEEE Signal Process. Mag..
[3] Inderjit S. Dhillon,et al. Weighted Graph Cuts without Eigenvectors A Multilevel Approach , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Joan Bruna,et al. Deep Convolutional Networks on Graph-Structured Data , 2015, ArXiv.
[5] Jure Leskovec,et al. Hierarchical Graph Representation Learning with Differentiable Pooling , 2018, NeurIPS.
[6] Shuiwang Ji,et al. Graph U-Nets , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Samuel S. Schoenholz,et al. Neural Message Passing for Quantum Chemistry , 2017, ICML.
[8] Ken-ichi Kawarabayashi,et al. Representation Learning on Graphs with Jumping Knowledge Networks , 2018, ICML.
[9] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[10] Fei-Fei Li,et al. Large-Scale Video Classification with Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Jan Eric Lenssen,et al. Fast Graph Representation Learning with PyTorch Geometric , 2019, ArXiv.
[12] L. Hood,et al. A Genomic Regulatory Network for Development , 2002, Science.
[13] Luc De Raedt,et al. Graph Invariant Kernels , 2015, IJCAI.
[14] Yixin Chen,et al. An End-to-End Deep Learning Architecture for Graph Classification , 2018, AAAI.
[15] Samy Bengio,et al. Order Matters: Sequence to sequence for sets , 2015, ICLR.
[16] Heinrich Müller,et al. SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[17] Zachary C. Lipton,et al. Troubling Trends in Machine Learning Scholarship , 2018, ACM Queue.
[18] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[19] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[20] Zhiyuan Liu,et al. Graph Neural Networks: A Review of Methods and Applications , 2018, AI Open.
[21] Le Song,et al. Discriminative Embeddings of Latent Variable Models for Structured Data , 2016, ICML.
[22] Alán Aspuru-Guzik,et al. Convolutional Networks on Graphs for Learning Molecular Fingerprints , 2015, NIPS.
[23] Fabrizio Costa,et al. Fast Neighborhood Subgraph Pairwise Distance Kernel , 2010, ICML.
[24] Eero P. Simoncelli,et al. Natural image statistics and neural representation. , 2001, Annual review of neuroscience.
[25] Pietro Liò,et al. Towards Sparse Hierarchical Graph Classifiers , 2018, ArXiv.
[26] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[27] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[28] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[29] A. Pentland,et al. Life in the network: The coming age of computational social science: Science , 2009 .
[30] Seokjun Seo,et al. Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification , 2017, IJCAI.
[31] Tara N. Sainath,et al. FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597 , 2012 .
[32] Khalil Sima'an,et al. Graph Convolutional Encoders for Syntax-aware Neural Machine Translation , 2017, EMNLP.
[33] Jure Leskovec,et al. Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation , 2018, NeurIPS.
[34] Jure Leskovec,et al. Inductive Representation Learning on Large Graphs , 2017, NIPS.
[35] Max Welling,et al. Graph Convolutional Matrix Completion , 2017, ArXiv.
[36] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[37] Jonathan Masci,et al. Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Han Zhang,et al. Self-Attention Generative Adversarial Networks , 2018, ICML.
[39] George Karypis,et al. Comparison of descriptor spaces for chemical compound retrieval and classification , 2006, Sixth International Conference on Data Mining (ICDM'06).
[40] Stephan Günnemann,et al. Pitfalls of Graph Neural Network Evaluation , 2018, ArXiv.
[41] Jakob Uszkoreit,et al. A Decomposable Attention Model for Natural Language Inference , 2016, EMNLP.
[42] Xavier Bresson,et al. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering , 2016, NIPS.
[43] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[44] Jianxin Li,et al. Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN , 2018, WWW.
[45] Joan Bruna,et al. Spectral Networks and Locally Connected Networks on Graphs , 2013, ICLR.
[46] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[47] Pietro Liò,et al. Graph Attention Networks , 2017, ICLR.
[48] Wu-Jun Li,et al. Convolutional Geometric Matrix Completion , 2018, ArXiv.
[49] Mirella Lapata,et al. Long Short-Term Memory-Networks for Machine Reading , 2016, EMNLP.
[50] Yuan Luo,et al. Graph Convolutional Networks for Text Classification , 2018, AAAI.
[51] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Kurt Mehlhorn,et al. Weisfeiler-Lehman Graph Kernels , 2011, J. Mach. Learn. Res..
[53] Jure Leskovec,et al. Modeling polypharmacy side effects with graph convolutional networks , 2018, bioRxiv.
[54] P. Dobson,et al. Distinguishing enzyme structures from non-enzymes without alignments. , 2003, Journal of molecular biology.
[55] Martin Grohe,et al. Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks , 2018, AAAI.