Neural Subgraph Counting with Wasserstein Estimator
Author:
Affiliation:
1. University of Technology Sydney, Sydney, NSW, Australia
2. The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
3. University of New South Wales, Sydney, NSW, Australia
Funder
Australian Research Council
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3514221.3526163
Reference121 articles.
1. 2019. https://github.com/THUDM/ProNE. 2019. https://github.com/THUDM/ProNE.
2. 2020. https://github.com/RapidsAtHKUST/SubgraphMatching. 2020. https://github.com/RapidsAtHKUST/SubgraphMatching.
3. 2020. https://github.com/yspark-dblab/gcare. 2020. https://github.com/yspark-dblab/gcare.
4. 2020. https://github.com/HKUST-KnowComp/NeuralSubgraphCounting. 2020. https://github.com/HKUST-KnowComp/NeuralSubgraphCounting.
5. Efficient Graphlet Counting for Large Networks
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