Thomas Markovich
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
5
Active years
2022–2025
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | When to retrain a machine learning model. | Florence Regol, Leo Schwinn, Kyle Sprague, Mark Coates, Thomas Markovich |
| 2025 | WWW | Understanding the Design Principles of Link Prediction in Directed Settings. | Jun Zhai, Muberra Ozmen, Thomas Markovich |
| 2023 | ICLR | 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 |
| 2023 | PAKDD | bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval. | Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao |
| 2022 | KDD | TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation. | Ahmed El-Kishky, Thomas Markovich, Serim Park, Chetan Verma, Baekjin Kim, Ramy Eskander, Yury Malkov, Frank Portman, Sofa Samaniego, Ying Xiao, Aria Haghighi |