TREND: TempoRal Event and Node Dynamics for Graph Representation Learning-Reference-Cited by-同舟云学术

TREND: TempoRal Event and Node Dynamics for Graph Representation Learning

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Wen Zhihao¹,Fang Yuan¹

Affiliation:

1. Singapore Management University, Singapore

Funder

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

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3512164

Reference47 articles.

1. A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications

2. Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding

3. Sequential Scenario-Specific Meta Learner for Online Recommendation

4. Ross Girshick . 2015 . Fast R-CNN. In Proceedings of the IEEE International Conference on Computer Vision. 1440–1448 . Ross Girshick. 2015. Fast R-CNN. In Proceedings of the IEEE International Conference on Computer Vision. 1440–1448.

5. dyngraph2vec: Capturing network dynamics using dynamic graph representation learning

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