Moshe Eliasof

Bridging Input Feature Spaces Towards Graph Foundation Models

On The Expressive Power of GNN Derivatives

Revisting Node Affinity Prediction In Temporal Graphs

Towards Improved Sentence Representations using Token Graphs

Learning from Historical Activations in Graph Neural Networks

A Sensitivity Analysis of State-Space Models on Graphs

Graph Neural Dynamics via Learned Energy and Tangential Flows

PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers

Large Language Models Enhance Graph Learning Without Graph Serialization

Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks

One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling

Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement

Graph Adaptive Autoregressive Moving Average Models

Improving the Effective Receptive Field of Message-Passing Neural Networks

GRAMA: Adaptive Graph Autoregressive Moving Average Models

Multiscale Training of Convolutional Neural Networks