Graph Normalizing Flows
暂无分享,去创建一个
Aviral Kumar | Jimmy Ba | Kevin Swersky | Jamie Kiros | Jenny Liu | Jimmy Ba | Aviral Kumar | Kevin Swersky | J. Kiros | Jenny Liu
[1] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[2] Jure Leskovec,et al. Predicting multicellular function through multi-layer tissue networks , 2017, Bioinform..
[3] Jure Leskovec,et al. Inductive Representation Learning on Large Graphs , 2017, NIPS.
[4] Samuel S. Schoenholz,et al. Neural Message Passing for Quantum Chemistry , 2017, ICML.
[5] Max Welling,et al. Variational Graph Auto-Encoders , 2016, ArXiv.
[6] Fernando J. Pineda,et al. Generalization of Back propagation to Recurrent and Higher Order Neural Networks , 1987, NIPS.
[7] Sanja Fidler,et al. NerveNet: Learning Structured Policy with Graph Neural Networks , 2018, ICLR.
[8] Richard S. Zemel,et al. Gated Graph Sequence Neural Networks , 2015, ICLR.
[9] Richard S. Zemel,et al. Generative Moment Matching Networks , 2015, ICML.
[10] F. Scarselli,et al. A new model for learning in graph domains , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
[11] Razvan Pascanu,et al. Learning Deep Generative Models of Graphs , 2018, ICLR 2018.
[12] Ah Chung Tsoi,et al. The Graph Neural Network Model , 2009, IEEE Transactions on Neural Networks.
[13] Pavlo O. Dral,et al. Quantum chemistry structures and properties of 134 kilo molecules , 2014, Scientific Data.
[14] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[15] Pietro Liò,et al. Graph Attention Networks , 2017, ICLR.
[16] Alán Aspuru-Guzik,et al. Convolutional Networks on Graphs for Learning Molecular Fingerprints , 2015, NIPS.
[17] Navdeep Jaitly,et al. Adversarial Autoencoders , 2015, ArXiv.
[18] Samy Bengio,et al. Density estimation using Real NVP , 2016, ICLR.
[19] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[20] Bernhard Schölkopf,et al. A Kernel Two-Sample Test , 2012, J. Mach. Learn. Res..
[21] Lisa Zhang,et al. Reviving and Improving Recurrent Back-Propagation , 2018, ICML.
[22] Jure Leskovec,et al. GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models , 2018, ICML.
[23] Luís B. Almeida,et al. A learning rule for asynchronous perceptrons with feedback in a combinatorial environment , 1990 .
[24] Yoshua Bengio,et al. NICE: Non-linear Independent Components Estimation , 2014, ICLR.
[25] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[26] Raquel Urtasun,et al. The Reversible Residual Network: Backpropagation Without Storing Activations , 2017, NIPS.
[27] Lise Getoor,et al. Collective Classification in Network Data , 2008, AI Mag..
[28] Ruslan Salakhutdinov,et al. Revisiting Semi-Supervised Learning with Graph Embeddings , 2016, ICML.
[29] Shakir Mohamed,et al. Variational Inference with Normalizing Flows , 2015, ICML.