Research output per year
Research output per year
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Dive into the research topics where Haggai Maron is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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EFFICIENT SUBGRAPH GNNS BY LEARNING EFFECTIVE SELECTION POLICIES
Bevilacqua, B., Eliasof, M., Meirom, E., Ribeiro, B. & Maron, H., 2024.Research output: Contribution to conference › Paper › peer-review
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GRAPH METANETWORKS FOR PROCESSING DIVERSE NEURAL ARCHITECTURES
Lim, D., Maron, H., Law, M. T., Lorraine, J. & Lucas, J., 2024.Research output: Contribution to conference › Paper › peer-review
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Equivariant Architectures for Learning in Deep Weight Spaces
Navon, A., Shamsian, A., Achituve, I., Fetaya, E., Chechik, G. & Maron, H., 2023, In: Proceedings of Machine Learning Research. 202, 27 p.Research output: Contribution to journal › Conference article › peer-review
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Equivariant Polynomials for Graph Neural Networks
Puny, O., Lim, D., Kiani, B. T., Maron, H. & Lipman, Y., 2023, In: Proceedings of Machine Learning Research. 202, p. 28191-28222 32 p.Research output: Contribution to journal › Conference article › peer-review
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Expressive Sign Equivariant Networks for Spectral Geometric Learning
Lim, D., Robinson, J., Jegelka, S. & Maron, H., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review