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Hierarchical Graph Transformer with Adaptive Node Sampling

, , , and . Advances in Neural Information Processing Systems, 35, page 21171--21183. Curran Associates, Inc., (2022)

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Model Inversion Attacks against Graph Neural Networks., , , , , and . CoRR, (2022)A photonic chip-based machine learning approach for the prediction of molecular properties., , , , , , , , , and . CoRR, (2022)Exploring the Dynamics of Quantum Information in Many-Body Localised Systems with High Performance Computing., , and . SCFA, volume 13214 of Lecture Notes in Computer Science, page 43-58. Springer, (2022)Motif-based Graph Self-Supervised Learning for Molecular Property Prediction., , , , and . NeurIPS, page 15870-15882. (2021)Modeling the Influence of Correlated Molecular Disorder on the Dynamics of Excitons in Organic Molecular Semiconductors, , and . J. Phys. Chem. C,, 123 (1): 306–314 (01 2019,)Model Inversion Attacks Against Graph Neural Networks., , , , , and . IEEE Trans. Knowl. Data Eng., 35 (9): 8729-8741 (September 2023)Optimizing quantum annealing schedules with Monte Carlo tree search enhanced with neural networks., , , , and . Nat. Mach. Intell., 4 (3): 269-278 (2022)An Equivariant Generative Framework for Molecular Graph-Structure Co-Design., , , , and . CoRR, (2023)TensorCircuit: a Quantum Software Framework for the NISQ Era., , , , , , , , , and 6 other author(s). Quantum, (February 2023)Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models., , , , , , , , , and 2 other author(s). CoRR, (2019)