Multi-modal Network Representation Learning
Author:
Affiliation:
1. Brandeis University, Waltham, MA, USA
2. University of Notre Dame, Notre Dame, IN, USA
3. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
4. Case Western Reserve University, Cleveland, OH, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394486.3406475
Reference26 articles.
1. Uchenna Akujuobi Yufei Han Qiannan Zhang and Xiangliang Zhang. 2019. Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification. In ICDM. Uchenna Akujuobi Yufei Han Qiannan Zhang and Xiangliang Zhang. 2019. Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification. In ICDM.
2. Basmah Altaf Uchenna Akujuobi Lu Yu and Xiangliang Zhang. 2019. Dataset Recommendation via Variational Graph Autoencoder. In ICDM. Basmah Altaf Uchenna Akujuobi Lu Yu and Xiangliang Zhang. 2019. Dataset Recommendation via Variational Graph Autoencoder. In ICDM.
3. Xia Chen Guoxian Yu Jun Wang Carlotta Domeniconi Zhao Li and Xiangliang Zhang. 2019 b. ActiveHNE: Active Heterogeneous Network Embedding. In IJCAI. Xia Chen Guoxian Yu Jun Wang Carlotta Domeniconi Zhao Li and Xiangliang Zhang. 2019 b. ActiveHNE: Active Heterogeneous Network Embedding. In IJCAI.
4. Yujun Chen Yuanhong Wang Yutao Zhang Juhua Pu and Xiangliang Zhang. 2019 a. AMENDER: an Attentive and Aggregate Multi-layered Network for Dataset Recommendation. In ICDM. Yujun Chen Yuanhong Wang Yutao Zhang Juhua Pu and Xiangliang Zhang. 2019 a. AMENDER: an Attentive and Aggregate Multi-layered Network for Dataset Recommendation. In ICDM.
5. Yuxiao Dong Nitesh V Chawla and Ananthram Swami. 2017. metapath2vec: Scalable Representation Learning for Heterogeneous Networks. In KDD. Yuxiao Dong Nitesh V Chawla and Ananthram Swami. 2017. metapath2vec: Scalable Representation Learning for Heterogeneous Networks. In KDD.
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