Graph Neural Networks

Scalable kernels for graphs with continuous attributes NeurIPS 2013 Fusion with Diffusion for Robust Visual Tracking NeurIPS 2012 Learning Invariant Representations of Molecules for Atomization Energy Prediction NeurIPS 2012 Multiplicative Forests for Continuous-Time Processes NeurIPS 2012 On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NeurIPS 2012 Open Problem: Learning Dynamic Network Models from a Static Snapshot COLT 2012 Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012 Topic-Partitioned Multinetwork Embeddings NeurIPS 2012 Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators NeurIPS 2011 See the Tree Through the Lines: The Shazoo Algorithm NeurIPS 2011 Weisfeiler-Lehman Graph Kernels JMLR 2011 Structured Determinantal Point Processes NeurIPS 2010 Fast subtree kernels on graphs NeurIPS 2009 Fast Computation of Graph Kernels NeurIPS 2006 Learning on Graph with Laplacian Regularization NeurIPS 2006 Learning with Hypergraphs: Clustering, Classification, and Embedding NeurIPS 2006