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Derek Lim
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The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
Future Directions in Foundations of Graph Machine Learning
Graph Metanetworks for Processing Diverse Neural Architectures
Expressive Sign Equivariant Networks for Spectral Geometric Learning
Equivariant Polynomials for Graph Neural Networks
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
Equivariant Subgraph Aggregation Networks
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