| The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. | 0 | 0.34 | 2021 |
| Reconstruction for Powerful Graph Representations. | 0 | 0.34 | 2021 |
| The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs. | 0 | 0.34 | 2021 |
| Combinatorial Optimization and Reasoning with Graph Neural Networks. | 1 | 0.34 | 2021 |
| Classifying Dissemination Processes In Temporal Graphs | 0 | 0.34 | 2020 |
| Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings | 0 | 0.34 | 2020 |
| Deep Graph Matching Consensus | 1 | 0.34 | 2020 |
| Towards a practical k-dimensional Weisfeiler-Leman algorithm. | 0 | 0.34 | 2019 |
| A survey on graph kernels. | 15 | 0.74 | 2019 |
| A unifying view of explicit and implicit feature maps of graph kernels | 1 | 0.36 | 2019 |
| Global Weisfeiler-Lehman Graph Kernels. | 0 | 0.34 | 2017 |
| Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs | 7 | 0.44 | 2017 |
| A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels. | 4 | 0.45 | 2017 |
| Recent Advances in Kernel-Based Graph Classification. | 0 | 0.34 | 2017 |
| Output-Sensitive Complexity Of Multiobjective Combinatorial Optimization | 5 | 0.52 | 2016 |
| Faster Kernels For Graphs With Continuous Attributes Via Hashing | 7 | 0.42 | 2016 |
| The Cage: Towards a 6-DoF Remote Control with Force Feedback for UAV Interaction | 2 | 0.38 | 2015 |
| Position Paper: Ontology in the Rail Domain. | 0 | 0.34 | 2015 |
| Applications of linked data in the rail domain | 3 | 0.38 | 2014 |
