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; Sofía Samaniego; Ying Xiao; Aria Haghighi (KDD, 2022)

kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval. - Ahmed El-Kishky; Thomas Markovich; Kenny Leung; Frank Portman; Aria Haghighi; Ying Xiao (CoRR, 2022)

Graph Neural Networks as Gradient Flows. - Francesco Di Giovanni; James Rowbottom; Benjamin Paul Chamberlain; Thomas Markovich; Michael M. Bronstein (CoRR, 2022)

TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter. - Vanessa Cai; Pradeep Prabakar; Manuel Serrano Rebuelta; Lucas Rosen; Federico Monti; Katarzyna Janocha; Tomo Lazovich; Jeetu Raj; Yedendra Shrinivasan; Hao Li; Thomas Markovich (AdKDD@KDD, 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 (ICLR, 2023)

bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval. - Ahmed El-Kishky; Thomas Markovich; Kenny Leung; Frank Portman; Aria Haghighi; Ying Xiao (PAKDD (3), 2023)

Understanding convolution on graphs via energies. - Francesco Di Giovanni; James Rowbottom; Benjamin Paul Chamberlain; Thomas Markovich; Michael M. Bronstein (Trans. Mach. Learn. Res., 2023)

Causally-guided Regularization of Graph Attention Improves Generalizability. - Alexander P. Wu; Thomas Markovich; Bonnie Berger; Nils Yannick Hammerla; Rohit Singh 001 (Trans. Mach. Learn. Res., 2023)

Scaling Laws for Discriminative Classification in Large Language Models. - Dean Wyatte; Fatemeh Tahmasbi; Ming Li; Thomas Markovich (CoRR, 2024)

QDC: Quantum Diffusion Convolution Kernels on Graphs. - Thomas Markovich (Trans. Mach. Learn. Res., 2024)

Recent Link Classification on Temporal Graphs Using Graph Profiler. - Muberra Ozmen; Thomas Markovich (Trans. Mach. Learn. Res., 2024)

Understanding the Design Principles of Link Prediction in Directed Settings. - Jun Zhai; Muberra Ozmen; Thomas Markovich (WWW (Companion Volume), 2025)

Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations. - Fred Xu; Thomas Markovich (CoRR, 2025)