Moshe Eliasof

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 45

Top Topics

Top Venues

SIAM J. Sci. Comput.

Publications

Moshe Eliasof, Benjamin Jacob Bodner, Eran Treister
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Moshe Eliasof, Eldad Haber, Eran Treister
Graph Neural Reaction Diffusion Models. SIAM J. Sci. Comput. 46 (4) (2024)
Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. CoRR (2024)
Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. AISTATS (2024)
Moshe Eliasof, Eldad Haber, Eran Treister
An Over Complete Deep Learning Method for Inverse Problems. CoRR (2024)
Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron
Efficient Subgraph GNNs by Learning Effective Selection Policies. ICLR (2024)
Moshe Eliasof, Eran Treister
Global-Local Graph Neural Networks for Node-Classification. CoRR (2024)
Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
Tackling Graph Oversquashing by Global and Local Non-Dissipativity. CoRR (2024)
Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function. CoRR (2024)
Moshe Eliasof, Eran Treister
Global-local graph neural networks for node-classification. Pattern Recognit. Lett. 184 (2024)
Moshe Eliasof, Eldad Haber, Eran Treister
Feature Transportation Improves Graph Neural Networks. AAAI (2024)
Moshe Eliasof, Eldad Haber, Eran Treister
Graph Neural Reaction Diffusion Models. CoRR (2024)
Moshe Eliasof, Beatrice Bevilacqua, Carola-Bibiane Schönlieb, Haggai Maron
GRANOLA: Adaptive Normalization for Graph Neural Networks. CoRR (2024)
Moshe Eliasof, Eldad Haber
Graph Neural Networks for Binary Programming. CoRR (2024)
Niloufar Zakariaei, Siddharth Rout, Eldad Haber, Moshe Eliasof
Advection Augmented Convolutional Neural Networks. CoRR (2024)
Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron
Efficient Subgraph GNNs by Learning Effective Selection Policies. CoRR (2023)
Moshe Eliasof, Eldad Haber, Eran Treister
DRIP: Deep Regularizers for Inverse Problems. CoRR (2023)
Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister
MGIC: Multigrid-in-Channels Neural Network Architectures. SIAM J. Sci. Comput. 45 (3) (2023)
Eldad Haber, Moshe Eliasof, Luis Tenorio
Estimating a Potential Without the Agony of the Partition Function. SIAM J. Math. Data Sci. 5 (4) (2023)
Moshe Eliasof, Eldad Haber, Eran Treister
ADR-GNN: Advection-Diffusion-Reaction Graph Neural Networks. CoRR (2023)
Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron
Graph Positional Encoding via Random Feature Propagation. ICML (2023)
Moshe Eliasof, Lars Ruthotto, Eran Treister
Improving Graph Neural Networks with Learnable Propagation Operators. ICML (2023)
Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron
Graph Positional Encoding via Random Feature Propagation. CoRR (2023)
Moshe Eliasof, Davide Murari, Ferdia Sherry, Carola-Bibiane Schönlieb
Contractive Systems Improve Graph Neural Networks Against Adversarial Attacks. CoRR (2023)
Moshe Eliasof, Nir Ben Zikri, Eran Treister
Rethinking Unsupervised Neural Superpixel Segmentation. CoRR (2022)
Moshe Eliasof, Eldad Haber, Eran Treister
pathGCN: Learning General Graph Spatial Operators from Paths. ICML (2022)
Moshe Eliasof, Lars Ruthotto, Eran Treister
ωGNNs: Deep Graph Neural Networks Enhanced by Multiple Propagation Operators. CoRR (2022)
Moshe Eliasof, Eldad Haber, Eran Treister
pathGCN: Learning General Graph Spatial Operators from Paths. CoRR (2022)
Moshe Eliasof, Tue Boesen, Eldad Haber, Chen Keasar, Eran Treister
Mimetic Neural Networks: A Unified Framework for Protein Design and Folding. Frontiers Bioinform. 2 (2022)
Moshe Eliasof, Eldad Haber, Eran Treister
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification. CoRR (2022)
Moshe Eliasof, Nir Ben Zikri, Eran Treister
Rethinking Unsupervised Neural Superpixel Segmentation. ICIP (2022)
Moshe Eliasof, Nir Ben Zikri, Eran Treister
Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks. CoRR (2022)
Eldad Haber, Moshe Eliasof, Luis Tenorio
Estimating a potential without the agony of the partition function. CoRR (2022)
Moshe Eliasof, Eldad Haber, Eran Treister
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations. CoRR (2021)
Ido Ben-Yair, Gil Ben Shalom, Moshe Eliasof, Eran Treister
Quantized convolutional neural networks through the lens of partial differential equations. CoRR (2021)
Moshe Eliasof, Tue Boesen, Eldad Haber, Chen Keasar, Eran Treister
Mimetic Neural Networks: A unified framework for Protein Design and Folding. CoRR (2021)
Moshe Eliasof, Eldad Haber, Eran Treister
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations. NeurIPS (2021)
Moshe Eliasof, Benjamin J. Bodner, Eran Treister
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks. CoRR (2021)
Moshe Eliasof, Eran Treister
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling. CoRR (2020)
Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto, Eldad Haber, Eran Treister
LeanConvNets: Low-Cost Yet Effective Convolutional Neural Networks. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister
Multigrid-in-Channels Neural Network Architectures. CoRR (2020)
Moshe Eliasof, Andrei Sharf, Eran Treister
Multimodal 3D Shape Reconstruction under Calibration Uncertainty Using Parametric Level Set Methods. SIAM J. Imaging Sci. 13 (1) (2020)
Moshe Eliasof, Eran Treister
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling. NeurIPS (2020)
Moshe Eliasof, Andrei Sharf, Eran Treister
Multi-modal 3D Shape Reconstruction Under Calibration Uncertainty using Parametric Level Set Methods. CoRR (2019)
Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto, Eldad Haber, Eran Treister
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks. CoRR (2019)