Cătălina Cangea
Title
Cited by
Cited by
Year
Towards Sparse Hierarchical Graph Classifiers
C Cangea, P Veličković, N Jovanović, T Kipf, P Li˛
Relational Representation Learning Workshop (NeurIPS), 2018
472018
XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification
C Cangea, P Veličković, P Li˛
IEEE Transactions on Neural Networks and Learning Systems, 2019
6*2019
Spatio-Temporal Deep Graph Infomax
FL Opolka, A Solomon, C Cangea, P Veličković, P Li˛, RD Hjelm
Representation Learning on Graphs and Manifolds Workshop (ICLR), 2019
32019
Deep Graph Mapper: Seeing Graphs through the Neural Lens
C Bodnar, C Cangea, P Li˛
arXiv preprint arXiv:2002.03864, 2020
22020
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation
B Knyazev, H de Vries, C Cangea, GW Taylor, A Courville, E Belilovsky
British Machine Vision Conference (BMVC), 2020
12020
The PlayStation Reinforcement Learning Environment (PSXLE)
C Purves, C Cangea, P Veličković
Deep Reinforcement Learning Workshop (NeurIPS), 2019
12019
Generative Graph Perturbations for Scene Graph Prediction
B Knyazev, H de Vries, C Cangea, GW Taylor, A Courville, E Belilovsky
Object-Oriented Learning Workshop (ICML), 2020
2020
Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks
P Mernyei, C Cangea
Graph Representation Learning and Beyond Workshop (ICML), 2020
2020
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
C Cangea, E Belilovsky, P Li˛, A Courville
British Machine Vision Conference (BMVC), 2019
2019
Structure-Based Networks for Drug Validation
C Cangea, A Grauslys, P Li˛, F Falciani
Machine Learning for Health (ML4H) Workshop (NeurIPS), 2018
2018
Supplementary Material to “Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation”
B Knyazev, H de Vries, C alina Cangea, GW Taylor, A Courville, ...
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