graph classification

Anonymous Walk Embeddings ICML 2018 Hierarchical Graph Representation Learning with Differentiable Pooling NeurIPS 2018 RetGK: Graph Kernels based on Return Probabilities of Random Walks NeurIPS 2018 Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs CVPR 2017 Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs NeurIPS 2017 On Valid Optimal Assignment Kernels and Applications to Graph Classification NeurIPS 2016 A Structural Smoothing Framework For Robust Graph Comparison NeurIPS 2015 Halting in Random Walk Kernels NeurIPS 2015 Online Prediction at the Limit of Zero Temperature NeurIPS 2015 Global graph kernels using geometric embeddings ICML 2014 Unsupervised Deep Haar Scattering on Graphs NeurIPS 2014 Scalable kernels for graphs with continuous attributes NeurIPS 2013 Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011 Weisfeiler-Lehman Graph Kernels JMLR 2011 Fast subtree kernels on graphs NeurIPS 2009 Prediction on a Graph with a Perceptron NeurIPS 2006