M-HIN

Author:

Fang Yang1,Zhao Xiang1,Huang Peixin1,Xiao Weidong1,de Rijke Maarten2

Affiliation:

1. National University of Defense Technology, Changsha, China

2. University of Amsterdam, Amsterdam, Netherlands

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference11 articles.

1. Peter W. Battaglia Razvan Pascanu and etal 2016. Interaction Networks for Learning about Objects Relations and Physics. In NIPS. 4502--4510. Peter W. Battaglia Razvan Pascanu and et al. 2016. Interaction Networks for Learning about Objects Relations and Physics. In NIPS. 4502--4510.

2. Yuxiao Dong Nitesh V. Chawla and etal 2017. metapath2vec: Scalable Representation Learning for Heterogeneous Networks. In KDD. 135--144. 10.1145/3097983.3098036 Yuxiao Dong Nitesh V. Chawla and et al. 2017. metapath2vec: Scalable Representation Learning for Heterogeneous Networks. In KDD. 135--144. 10.1145/3097983.3098036

3. GraMi

4. Yuan Fang Wenqing Lin and etal 2016. Semantic proximity search on graphs with metagraph-based learning. In ICDE. 277--288. Yuan Fang Wenqing Lin and et al. 2016. Semantic proximity search on graphs with metagraph-based learning. In ICDE. 277--288.

5. Tao-Yang Fu Wang-Chien Lee and etal 2017. HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning. In CIKM. 1797--1806. 10.1145/3132847.3132953 Tao-Yang Fu Wang-Chien Lee and et al. 2017. HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning. In CIKM. 1797--1806. 10.1145/3132847.3132953

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