Markovich, Thomas

8 publications

NeurIPS 2025 Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations Fred Xu, Thomas Markovich

ICML 2025 When to Retrain a Machine Learning Model Florence Regol, Leo Schwinn, Kyle Sprague, Mark Coates, Thomas Markovich

DMLR 2024 Benchmarking Edge Regression on Temporal Networks Muberra Ozmen, Florence Regol, Thomas Markovich

TMLR 2024 QDC: Quantum Diffusion Convolution Kernels on Graphs Thomas Markovich

TMLR 2024 Recent Link Classification on Temporal Graphs Using Graph Profiler Muberra Ozmen, Thomas Markovich

TMLR 2023 Causally-Guided Regularization of Graph Attention Improves Generalizability Alexander P Wu, Thomas Markovich, Bonnie Berger, Nils Yannick Hammerla, Rohit Singh

ICLR 2023 Graph Neural Networks for Link Prediction with Subgraph Sketching Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Yannick Hammerla, Michael M. Bronstein, Max Hansmire

TMLR 2023 Understanding Convolution on Graphs via Energies Francesco Di Giovanni, James Rowbottom, Benjamin Paul Chamberlain, Thomas Markovich, Michael M. Bronstein