An end-to-end deep learning architecture for graph classification

M Zhang, Z Cui, M Neumann, Y Chen - Proceedings of the AAAI …, 2018 - ojs.aaai.org
Neural networks are typically designed to deal with data in tensor forms. In this paper, we
propose a novel neural network architecture accepting graphs of arbitrary structure. Given a …

[PDF][PDF] An End-to-End Deep Learning Architecture for Graph Classification

M Zhang, Z Cui, M Neumann, Y Chen - 2018 - cse.wustl.edu
Neural networks are typically designed to deal with data in tensor forms. In this paper, we
propose a novel neural network architecture accepting graphs of arbitrary structure. Given a …

An End-to-End Deep Learning Architecture for Graph Classification

M Zhang, Z Cui, M Neumann, Y Chen - Proceedings of the AAAI …, 2018 - cir.nii.ac.jp
抄録< jats: p> Neural networks are typically designed to deal with data in tensor forms. In this
paper, we propose a novel neural network architecture accepting graphs of arbitrary …

[PDF][PDF] An End-to-End Deep Learning Architecture for Graph Classification

M Zhang, Z Cui, M Neumann, Y Chen - 2018 - cdn.aaai.org
Neural networks are typically designed to deal with data in tensor forms. In this paper, we
propose a novel neural network architecture accepting graphs of arbitrary structure. Given a …

[PDF][PDF] An End-to-End Deep Learning Architecture for Graph Classification

M Zhang, Z Cui, M Neumann, Y Chen - 2018 - scholar.archive.org
Neural networks are typically designed to deal with data in tensor forms. In this paper, we
propose a novel neural network architecture accepting graphs of arbitrary structure. Given a …

An end-to-end deep learning architecture for graph classification

M Zhang, Z Cui, M Neumann, Y Chen - Proceedings of the Thirty …, 2018 - dl.acm.org
Neural networks are typically designed to deal with data in tensor forms. In this paper, we
propose a novel neural network architecture accepting graphs of arbitrary structure. Given a …

[PDF][PDF] An End-to-End Deep Learning Architecture for Graph Classification

M Zhang, Z Cui, M Neumann, Y Chen - 2018 - muhanzhang.github.io
Neural networks are typically designed to deal with data in tensor forms. In this paper, we
propose a novel neural network architecture accepting graphs of arbitrary structure. Given a …