Tail-GNN-Reference-Cited by-同舟云学术

Tail-GNN

Published:2021-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
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Author:

Liu Zemin¹,Nguyen Trung-Kien¹,Fang Yuan¹

Affiliation:

1. Singapore Management University, Singapore, Singapore

Funder

the Agency for Science, Technology and Research (A*STAR) under its AME Programmatic Funds

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447548.3467276

Reference39 articles.

1. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In NeurIPS. 2787--2795. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In NeurIPS. 2787--2795.

2. Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers

3. ESAM

4. Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio and Cho-Jui Hsieh. 2019. Cluster-GCN: An efficient algorithm for training deep and large graph convolutional networks. In KDD. 257--266. Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio and Cho-Jui Hsieh. 2019. Cluster-GCN: An efficient algorithm for training deep and large graph convolutional networks. In KDD. 257--266.

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