Cătălina Cangea
Cătălina Cangea
Research Scientist, 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
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
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
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 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
ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022
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
Generative Compositional Augmentations for Scene Graph Prediction
B Knyazev, H de Vries, C Cangea, GW Taylor, A Courville, E Belilovsky
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
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
The PlayStation Reinforcement Learning Environment (PSXLE)
C Purves, C Cangea, P Veličković
Deep Reinforcement Learning Workshop (NeurIPS), 2019
Code change graph node matching with machine learning
C Cangea, Q Zhang
US Patent 20,220,019,410, 2022
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
Structure-Based Networks for Drug Validation
C Cangea, A Grauslys, P Liò, F Falciani
Machine Learning for Health (ML4H) Workshop (NeurIPS), 2018
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