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Haggai Maron
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Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching


Apr 06, 2023
Ali Taghibakhshi, Mingyuan Ma, Ashwath Aithal, Onur Yilmaz, Haggai Maron, Matthew West

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Graph Positional Encoding via Random Feature Propagation


Mar 08, 2023
Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron

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Equivariant Polynomials for Graph Neural Networks


Feb 22, 2023
Omri Puny, Derek Lim, Bobak T. Kiani, Haggai Maron, Yaron Lipman

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Equivariant Architectures for Learning in Deep Weight Spaces


Jan 30, 2023
Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron

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Generalized Laplacian Positional Encoding for Graph Representation Learning


Nov 10, 2022
Sohir Maskey, Ali Parviz, Maximilian Thiessen, Hannes Stärk, Ylli Sadikaj, Haggai Maron

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* Accepted at NeurIPS Workshop on Symmetry and Geometry in Neural Representations: Extended Abstract Track 2022 
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Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries


Jun 22, 2022
Fabrizio Frasca, Beatrice Bevilacqua, Michael M. Bronstein, Haggai Maron

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* 46 pages, 6 figures 
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Optimizing Tensor Network Contraction Using Reinforcement Learning


Apr 18, 2022
Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik

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Sign and Basis Invariant Networks for Spectral Graph Representation Learning


Apr 11, 2022
Derek Lim, Joshua Robinson, Lingxiao Zhao, Tess Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka

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* 35 pages 
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A Simple and Universal Rotation Equivariant Point-cloud Network


Mar 03, 2022
Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym

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