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Derek Lim
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Large scale learning on non-homophilous graphs: New benchmarks and strong simple methods
D Lim, F Hohne, X Li, SL Huang, V Gupta, O Bhalerao, SN Lim
Advances in Neural Information Processing Systems 34, 20887-20902, 2021
2662021
Equivariant subgraph aggregation networks
B Bevilacqua, F Frasca, D Lim, B Srinivasan, C Cai, G Balamurugan, ...
International Conference on Learning Representations, 2022
1712022
Sign and basis invariant networks for spectral graph representation learning
D Lim, J Robinson, L Zhao, T Smidt, S Sra, H Maron, S Jegelka
arXiv preprint arXiv:2202.13013 4, 2022
1242022
New Benchmarks for Learning on Non-Homophilous Graphs
D Lim, X Li, F Hohne, SN Lim
https://arxiv.org/abs/2104.01404, 2021
912021
Neural manifold ordinary differential equations
A Lou, D Lim, I Katsman, L Huang, Q Jiang, SN Lim, CM De Sa
Advances in Neural Information Processing Systems 33, 17548-17558, 2020
722020
Graph inductive biases in transformers without message passing
L Ma, C Lin, D Lim, A Romero-Soriano, PK Dokania, M Coates, P Torr, ...
International Conference on Machine Learning, 23321-23337, 2023
562023
The power of recursion in graph neural networks for counting substructures
B Tahmasebi, D Lim, S Jegelka
International Conference on Artificial Intelligence and Statistics, 11023-11042, 2023
30*2023
Equivariant polynomials for graph neural networks
O Puny, D Lim, B Kiani, H Maron, Y Lipman
International Conference on Machine Learning, 28191-28222, 2023
252023
Doubly Stochastic Subspace Clustering
D Lim, R Vidal, B Haeffele
arXiv preprint arXiv:2011.14859, 2020
182020
Equivariant manifold flows
I Katsman, A Lou, D Lim, Q Jiang, SN Lim, CM De Sa
Advances in Neural Information Processing Systems 34, 10600-10612, 2021
172021
Expertise and dynamics within crowdsourced musical knowledge curation: A case study of the genius platform
D Lim, AR Benson
Proceedings of the International AAAI Conference on Web and Social Media 15 …, 2021
172021
Graph metanetworks for processing diverse neural architectures
D Lim, H Maron, MT Law, J Lorraine, J Lucas
arXiv preprint arXiv:2312.04501, 2023
112023
Expressive sign equivariant networks for spectral geometric learning
D Lim, J Robinson, S Jegelka, H Maron
Advances in Neural Information Processing Systems 36, 2024
102024
Structuring representation geometry with rotationally equivariant contrastive learning
S Gupta, J Robinson, D Lim, S Villar, S Jegelka
arXiv preprint arXiv:2306.13924, 2023
82023
The doubly stochastic single eigenvalue problem: A computational approach
A Harlev, CR Johnson, D Lim
Experimental Mathematics 31 (3), 936-945, 2022
72022
Understanding doubly stochastic clustering
T Ding, D Lim, R Vidal, BD Haeffele
International Conference on Machine Learning, 5153-5165, 2022
72022
Spectra of convex hulls of matrix groups
E Jankowski, CR Johnson, D Lim
Linear Algebra and its Applications 593, 74-89, 2020
42020
Future Directions in Foundations of Graph Machine Learning
C Morris, N Dym, H Maron, İİ Ceylan, F Frasca, R Levie, D Lim, ...
arXiv preprint arXiv:2402.02287, 2024
12024
Positional Encodings as Group Representations: A Unified Framework
D Lim, H Lawrence, NT Huang, EH Thiede
12023
Position: Future Directions in the Theory of Graph Machine Learning
C Morris, F Frasca, N Dym, H Maron, II Ceylan, R Levie, D Lim, ...
Forty-first International Conference on Machine Learning, 0
1
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