Projects
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Benchmarking Graph Neural Networks
Identify universal building blocks for robust and scalable GNNs.
Free-hand Sketches
Representation learning for drawings via graphs with geometric and temporal information.
Combinatorial Optimization
Scalable deep learning systems for practical NP-Hard combinatorial problems such as the TSP.
Quantum Chemistry
Chemical synthesis, structure and property prediction using deep neural networks.
Spatial Graph ConvNets
Graph Neural Network architectures for inductive representation learning on arbitrary graphs.
