Cătălina Cangea

Towards Sparse Hierarchical Graph Classifiers

Cătălina Cangea, Petar Veličković, Nikola Jovanović et al. · arXiv (Cornell University) · 2018 · 198 citations · Full text

Geometric Learning, Graph Sparsity, Engineering +17

General-purpose, long-context autoregressive modeling with Perceiver AR

Curtis Hawthorne, Andrew Jaegle, Cătălina Cangea et al. · arXiv (Cornell University) · 2022 · 34 citations · Full text

Engineering, Machine Learning, Real-world Data +18

Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Péter Mernyei, Cătălina Cangea · arXiv (Cornell University) · 2020 · 33 citations · Full text

Engineering, Machine Learning, Semantic Web +16

XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification

Cătălina Cangea, Petar Veličković, Píetro Lió · IRIS Research product catalog (Sapienza University of Rome) · 2020 · 29 citations · Full text

Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation

B. A. Knyazev, Harm de Vries, Cătălina Cangea et al. · arXiv (Cornell University) · 2020 · 29 citations · Full text

Few-shot Learning, Certain Generalization Metrics, Structured Prediction +22