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Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

Stable and Informative Spectral Signatures for Graph Matching CVPR 2014
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis NIPS 2014
Analyzing the Harmonic Structure in Graph-Based Learning NIPS 2013
Scalable kernels for graphs with continuous attributes NIPS 2013
Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels ACML 2013
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NIPS 2013
Learning Invariant Representations of Molecules for Atomization Energy Prediction NIPS 2012
Open Problem: Learning Dynamic Network Models from a Static Snapshot COLT 2012
Topic-Partitioned Multinetwork Embeddings NIPS 2012
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NIPS 2012
Random function priors for exchangeable arrays with applications to graphs and relational data NIPS 2012
Multiplicative Forests for Continuous-Time Processes NIPS 2012
See the Tree Through the Lines: The Shazoo Algorithm NIPS 2011
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators NIPS 2011
Weisfeiler-Lehman Graph Kernels JMLR 2011
Structured Determinantal Point Processes NIPS 2010
Fast subtree kernels on graphs NIPS 2009
Learning on Graph with Laplacian Regularization NIPS 2006
Learning with Hypergraphs: Clustering, Classification, and Embedding NIPS 2006
Fast Computation of Graph Kernels NIPS 2006