Liudmila Prokhorenkova

Cluster Attention for Graph Machine Learning

Fine-Grained Urban Traffic Forecasting on Metropolis-Scale Road Networks

Capturing Structure and Feature Signals in Graph Self-Supervised Learning

Turning Tabular Foundation Models into Graph Foundation Models

GraphPFN: A Prior-Data Fitted Graph Foundation Model

Measuring Diversity: Axioms and Challenges

Measuring Diversity: Axioms and Challenges

Discrete Neural Algorithmic Reasoning

Discrete Neural Algorithmic Reasoning

Relevance-Based Embeddings for Efficient Relevance Retrieval

TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features