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Posts by Collection
portfolio
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publications
Understanding the representation power of graph neural networks in learning graph topology
Published in NeurIPS 2019, 2019
We analyze the expressive power of graph neural networks (GNN).
Recommended citation: Dehmamy, N., Barabási, A. L., & Yu, R. (2019). "Understanding the representation power of graph neural networks in learning graph topology". Advances in Neural Information Processing Systems, 32. https://proceedings.neurips.cc/paper/2019/file/73bf6c41e241e28b89d0fb9e0c82f9ce-Paper.pdf
Automatic Symmetry Discovery with Lie Algebra Convolutional Networks
Published in NeurIPS 2021, 2021
We introduce the L-conv layer, a basic building block for Lie group equivariant layers.
Recommended citation: Dehmamy, N., Walters, R., Liu, Y., Wang, D., & Yu, R. (2021). "Automatic Symmetry Discovery with Lie Algebra Convolutional Network". Advances in Neural Information Processing Systems, 34, 2503-2515. https://proceedings.neurips.cc/paper/2021/file/148148d62be67e0916a833931bd32b26-Paper.pdf
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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