1 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2025★ 1 cited
Understanding the Design Principles of Link Prediction in Directed Settings
Jun Zhai, Muberra Ozmen, Thomas Markovich
Link prediction is a widely studied task in Graph Representation Learning (GRL) for modeling relational data. The early theories in GRL were based on the assumption of a symmetric…
cs.LG2023★ 1 cited
QDC: Quantum Diffusion Convolution Kernels on Graphs
Thomas Markovich
Graph convolutional neural networks (GCNs) operate by aggregating messages over local neighborhoods given the prediction task under interest. Many GCNs can be understood as a form…
cs.IR2023★ 1 cited
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter
Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta +8
Recommendation systems are a core feature of social media companies with their uses including recommending organic and promoted contents. Many modern recommendation systems are spl…