Cătălina Cangea
Cătălina Cangea
Other namesCatalina-Codruta Cangea, Catalina Cangea
Senior Research Scientist, Google DeepMind
Verified email at - Homepage
Cited by
Cited by
Towards Sparse Hierarchical Graph Classifiers
C Cangea, P Veličković, N Jovanović, T Kipf, P Liò
Relational Representation Learning Workshop (NeurIPS), 2018
Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks
P Mernyei, C Cangea
Graph Representation Learning and Beyond Workshop (ICML), 2020
General-purpose, long-context autoregressive modeling with Perceiver AR
C Hawthorne, A Jaegle, C Cangea, S Borgeaud, C Nash, M Malinowski, ...
The Thirty-ninth International Conference on Machine Learning (ICML), 2022
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
Spatio-Temporal Deep Graph Infomax
FL Opolka, A Solomon, C Cangea, P Veličković, P Liò, RD Hjelm
Representation Learning on Graphs and Manifolds Workshop (ICLR), 2019
Deep Graph Mapper: Seeing Graphs through the Neural Lens
C Bodnar, C Cangea, P Lio
Frontiers in Big Data - Machine Learning and Artificial Intelligence, 2021
XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification
C Cangea, P Veličković, P Liò
IEEE Transactions on Neural Networks and Learning Systems, 2019
Generative Compositional Augmentations for Scene Graph Prediction
B Knyazev, H de Vries, C Cangea, GW Taylor, A Courville, E Belilovsky
International Conference on Computer Vision (ICCV), 15827-15837, 2021
Structure-aware generation of drug-like molecules
P Drotár, AR Jamasb, B Day, C Cangea, P Liò
Machine Learning in Structural Biology Workshop (NeurIPS), 2021
Deep learning for protein–protein interaction site prediction
AR Jamasb, B Day, C Cangea, P Liò, TL Blundell
Proteomics data analysis, 263-288, 2021
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
C Cangea, E Belilovsky, P Liò, A Courville
British Machine Vision Conference (BMVC), 2019
Message Passing Neural Processes
C Cangea, B Day, AR Jamasb, P Lio
Geometrical and Topological Representation Learning Workshop (ICLR), 2022
Code change graph node matching with machine learning
C Cangea, Q Zhang
US Patent 20,220,019,410, 2022
The PlayStation Reinforcement Learning Environment (PSXLE)
C Purves, C Cangea, P Veličković
Deep Reinforcement Learning Workshop (NeurIPS), 2019
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task
J Kossen, C Cangea, E Vértes, A Jaegle, V Patraucean, I Ktena, ...
Transactions on Machine Learning Research (TMLR), 2023
Structure-Based Networks for Drug Validation
C Cangea, A Grauslys, P Liò, F Falciani
Machine Learning for Health (ML4H) Workshop (NeurIPS), 2018
Generating sequences of data elements using cross-attention operations
CGM Hawthorne, AC Jaegle, CC Cangea, SBD Avocat, CTC Nash, ...
US Patent 20,230,244,907, 2023
Exploiting multimodality and structure in world representations
C Cangea
University of Cambridge, 2021
Proceedings of the Fourth Workshop on Visually Grounded Interaction and Language
C Cangea, A Das, D Hudson, J Krantz, S Lee, J Mao, F Strub, A Suhr, ...
Proceedings of the Fourth Workshop on Visually Grounded Interaction and Language, 2021
Goal-Conditioned Reinforcement Learning in the Presence of an Adversary
C Purves, P Liò, C Cangea
Deep Reinforcement Learning Workshop (NeurIPS), 2020
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