Derek Lim

Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

Derek Lim, Felix Höhne, Xiuyu Li et al. · arXiv (Cornell University) · 2021 · 59 citations · Full text

Graph Sparsity, Engineering, Machine Learning +19

Neural Manifold Ordinary Differential Equations

Aaron Lou, Derek Lim, Isay Katsman et al. · arXiv (Cornell University) · 2020 · 26 citations · Full text

Geometric Learning, Engineering, Machine Learning +18

New Benchmarks for Learning on Non-Homophilous Graphs

Derek Lim, Xiuyu Li, Felix Höhne et al. · arXiv (Cornell University) · 2021 · 25 citations · Full text

Geometric Learning, Graph Representation Learning, Machine Learning +17

Doubly Stochastic Subspace Clustering

Derek Lim, Renè Vidal, Benjamin D. Haeffele · arXiv (Cornell University) · 2020 · 16 citations · Full text

Cluster Computing, Document Clustering, Affinity Matrix +14

Equivariant Subgraph Aggregation Networks

Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim et al. · arXiv (Cornell University) · 2021 · 13 citations · Full text

Graph Neural Network, Network Science, Graph Theory +14