naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
| repo name | naganandy/graph-based-deep-learning-literature |
| repo link | https://github.com/naganandy/graph-based-deep-learning-literature |
| homepage | |
| language | Jupyter Notebook |
| size (curr.) | 7129 kB |
| stars (curr.) | 1645 |
| created | 2017-12-01 |
| license | |
Graph-based deep learning literature
The repository contains links to
- conference publications and the top 10 most cited publications
- related workshops
- surveys / literature reviews
in graph-based deep learning. The links to conference publications are arranged in the reverse chronological order of conference dates from the conferences below. Please click on a year below beside a conference name to see publications of the conference in that year.
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Machine learning conferences
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Artificial intelligence conferences
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Natural language processing conferences
Top 10 most cited publications
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Semi-Supervised Classification with Graph Convolutional Networks
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Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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Inductive Representation Learning on Large Graphs
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Spectral Networks and Locally Connected Networks on Graphs
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Convolutional Networks on Graphs for Learning Molecular Fingerprints
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Graph Attention Networks
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The Graph Neural Network Model
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Neural Message Passing for Quantum Chemistry
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Gated Graph Sequence Neural Networks
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Learning Convolutional Neural Networks for Graphs
Related workshops
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2020
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2019
-
2018
Surveys / literature reviews
-
2019
-
2018
-
2017
