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1509.09292
Cited By
Convolutional Networks on Graphs for Learning Molecular Fingerprints
30 September 2015
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
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Papers citing
"Convolutional Networks on Graphs for Learning Molecular Fingerprints"
50 / 514 papers shown
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Utilising Graph Machine Learning within Drug Discovery and Development
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09 Dec 2020
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07 Dec 2020
Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery
Zhengyang Wang
Meng Liu
Youzhi Luo
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Yaochen Xie
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Lei Cai
Q. Qi
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Tianbao Yang
Shuiwang Ji
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02 Dec 2020
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition
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Message Passing Networks for Molecules with Tetrahedral Chirality
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Graph Kernels: State-of-the-Art and Future Challenges
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Leslie O’Bray
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Pan Li
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Scientific intuition inspired by machine learning generated hypotheses
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Alán Aspuru-Guzik
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Daniel C. Hannah
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Contrastive Graph Neural Network Explanation
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Roger Wattenhofer
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Investigating 3D Atomic Environments for Enhanced QSAR
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ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction
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Tracklets Predicting Based Adaptive Graph Tracking
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Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
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Information Obfuscation of Graph Neural Networks
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Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks
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Reinaldo A. C. Bianchi
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Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
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Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
Yun Peng
Byron Choi
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Graph Neural Networks: Architectures, Stability and Transferability
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04 Aug 2020
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation
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Second-Order Pooling for Graph Neural Networks
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A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation
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Jinsong Su
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Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
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Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
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Mikolaj Sacha
Mikolaj Blaz
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Paweł Dąbrowski-Tumański
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Tensor Programs II: Neural Tangent Kernel for Any Architecture
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Hierarchical Inter-Message Passing for Learning on Molecular Graphs
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Temporal Graph Networks for Deep Learning on Dynamic Graphs
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Self-Supervised Graph Transformer on Large-Scale Molecular Data
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Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
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Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
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Global Attention Improves Graph Networks Generalization
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Towards Deeper Graph Neural Networks with Differentiable Group Normalization
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A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations
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Higher-Order Explanations of Graph Neural Networks via Relevant Walks
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