Karsten M. Borgwardt
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
41
Venues
13
Active years
2005–2025
Best venue rank
A*
Where they publish
Papers
41 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Learning Long Range Dependencies on Graphs via Random Walks. | Dexiong Chen, Till Hendrik Schulz, Karsten M. Borgwardt |
| 2025 | ICLR | Graph Neural Networks Can (Often) Count Substructures. | Paolo Pellizzoni, Till Hendrik Schulz, Karsten M. Borgwardt |
| 2025 | RECOMB | Detecting Antimicrobial Resistance Through MALDI-TOF Mass Spectrometry with Statistical Guarantees Using Conformal Prediction. | Nina Corvelo Benz, Lucas Miranda, Dexiong Chen, Janko Sattler, Karsten M. Borgwardt |
| 2024 | RECOMB | Structure- and Function-Aware Substitution Matrices via Learnable Graph Matching. | Paolo Pellizzoni, Carlos G. Oliver, Karsten M. Borgwardt |
| 2023 | ICDM | FASM and FAST-YB: Significant Pattern Mining with False Discovery Rate Control. | Paolo Pellizzoni, Karsten M. Borgwardt |
| 2023 | ICLR | Unsupervised Manifold Alignment with Joint Multidimensional Scaling. | Dexiong Chen, Bowen Fan, Carlos G. Oliver, Karsten M. Borgwardt |
| 2023 | ICML | Fisher Information Embedding for Node and Graph Learning. | Dexiong Chen, Paolo Pellizzoni, Karsten M. Borgwardt |
| 2022 | ICLR | Topological Graph Neural Networks. | Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt |
| 2022 | ICLR | Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions. | Leslie O'Bray, Max Horn, Bastian Rieck, Karsten M. Borgwardt |
| 2022 | ICML | Structure-Aware Transformer for Graph Representation Learning. | Dexiong Chen, Leslie O'Bray, Karsten M. Borgwardt |
| 2021 | KDD | Filtration Curves for Graph Representation. | Leslie O'Bray, Bastian Rieck, Karsten M. Borgwardt |
| 2020 | ICML | Set Functions for Time Series. | Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten M. Borgwardt |
| 2020 | ICML | Topological Autoencoders. | Michael Moor, Max Horn, Bastian Rieck, Karsten M. Borgwardt |
| 2019 | ICDM | A Wasserstein Subsequence Kernel for Time Series. | Christian Bock, Matteo Togninalli, M. Elisabetta Ghisu, Thomas Gumbsch, Bastian Rieck, Karsten M. Borgwardt |
| 2019 | ICLR | Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. | Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt |
| 2019 | ICML | A Persistent Weisfeiler-Lehman Procedure for Graph Classification. | Bastian Rieck, Christian Bock, Karsten M. Borgwardt |
| 2019 | IJCAI | Finding Statistically Significant Interactions between Continuous Features. | Mahito Sugiyama, Karsten M. Borgwardt |
| 2017 | ICDM | Kernel Conditional Clustering. | Xiao He, Thomas Gumbsch, Damian Roqueiro, Karsten M. Borgwardt |
| 2015 | KDD | Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing. | Felipe Llinares-Lpez, Mahito Sugiyama, Laetitia Papaxanthos, Karsten M. Borgwardt |
| 2015 | SDM | Significant Subgraph Mining with Multiple Testing Correction. | Mahito Sugiyama, Felipe Llinares-Lpez, Niklas Kasenburg, Karsten M. Borgwardt |
| 2014 | SDM | Multi-Task Feature Selection on Multiple Networks via Maximum Flows. | Mahito Sugiyama, Chlo-Agathe Azencott, Dominik G. Grimm, Yoshinobu Kawahara, Karsten M. Borgwardt |
| 2013 | IJCAI | Measuring Statistical Dependence via the Mutual Information Dimension. | Mahito Sugiyama, Karsten M. Borgwardt |
| 2011 | KDD | Two-locus association mapping in subquadratic time. | Panagiotis Achlioptas, Bernhard Schlkopf, Karsten M. Borgwardt |
| 2009 | ICML | The graphlet spectrum. | Risi Kondor, Nino Shervashidze, Karsten M. Borgwardt |
| 2009 | RECOMB | A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series. | Oliver Stegle, Katherine J. Denby, David L. Wild, Zoubin Ghahramani, Karsten M. Borgwardt |
| 2009 | SDM | Near-optimal Supervised Feature Selection among Frequent Subgraphs. | Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt |
| 2008 | ICDM | Metropolis Algorithms for Representative Subgraph Sampling. | Christian Hbler, Hans-Peter Kriegel, Karsten M. Borgwardt, Zoubin Ghahramani |
| 2008 | ICML | The skew spectrum of graphs. | Risi Kondor, Karsten M. Borgwardt |
| 2007 | AAAI | A Kernel Approach to Comparing Distributions. | Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schlkopf, Alexander J. Smola |
| 2007 | ICML | A dependence maximization view of clustering. | Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt |
| 2007 | ICML | Supervised feature selection via dependence estimation. | Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo |
| 2007 | ISMB | Gene selection via the BAHSIC family of algorithms. | Le Song, Justin Bedo, Karsten M. Borgwardt, Arthur Gretton, Alexander J. Smola |
| 2007 | PSB | Graph Kernels For Disease Outcome Prediction From Protein-Protein Interaction Networks. | Karsten M. Borgwardt, Hans-Peter Kriegel |
| 2006 | CIKM | 3DString: a feature string kernel for 3D object classification on voxelized data. | Johannes Afalg, Karsten M. Borgwardt, Hans-Peter Kriegel |
| 2006 | ICDM | Pattern Mining in Frequent Dynamic Subgraphs. | Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wackersreuther |
| 2006 | ISMB | Integrating structured biological data by Kernel Maximum Mean Discrepancy. | Karsten M. Borgwardt, Arthur Gretton, Malte J. Rasch, Hans-Peter Kriegel, Bernhard Schlkopf, Alexander J. Smola |
| 2006 | PSB | Class Prediction from Time Series Gene Expression Profiles Using Dynamical Systems Kernels. | Karsten M. Borgwardt, S. V. N. Vishwanathan, Hans-Peter Kriegel |
| 2006 | SIGMOD | VGM: visual graph mining. | Karsten M. Borgwardt, Sebastian Bttger, Hans-Peter Kriegel |
| 2005 | ESANN | Joint Regularization. | Karsten M. Borgwardt, Omri Guttman, S. V. N. Vishwanathan, Alexander J. Smola |
| 2005 | ICDM | Shortest-Path Kernels on Graphs. | Karsten M. Borgwardt, Hans-Peter Kriegel |
| 2005 | ISMB | Protein function prediction via graph kernels. | Karsten M. Borgwardt, Cheng Soon Ong, Stefan Schnauer, S. V. N. Vishwanathan, Alexander J. Smola, Hans-Peter Kriegel |