Fetching the paper…
Reading the bibliography…
With the development of temporal networks such as E-commerce networks and social networks, the issue of temporal link prediction has attracted increasing attention in recent years.
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Emanuele Rossi, Ben Chamberlain, Fabrizio Frasca, Davide Eynard, Federico Monti, and Michael Bronstein. 2020 · 2006
Earlier work this paper cites.
Temporal link prediction using matrix and tensor factorizations
Daniel M Dunlavy, Tamara G Kolda, and Evrim Acar. 2011 · 2011
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Temporal Link Prediction in Multi-Relational Network
Niladri Sett, Saptarshi Basu, Sukumar Nandi, and Sanasam Ranbir Singh. 2018 · 2018
Earlier work this paper cites.
Dynamic network embedding by modeling triadic closure process. In Proceedings of the AAAI conference on artificial intelligence , Vol. 32
Lekui Zhou, Yang Yang, Xiang Ren, Fei Wu, and Yueting Zhuang. 2018 · 2018
Earlier work this paper cites.
DHNE: Network representation learning method for dynamic heterogeneous networks
Ying Yin, Li-Xin Ji, Jian-Peng Zhang, and Yu-Long Pei. 2019 · 2019
Earlier work this paper cites.
Temporal link prediction: A survey
Aswathy Divakaran and Anuraj Mohan. 2020 · 2020
Earlier work this paper cites.
Temporal heterogeneous interaction graph embedding for next-item recommendation. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases . Springer, 314–329
Yugang Ji, MingYang Yin, Yuan Fang, Hongxia Yang, Xiangwei Wang, Tianrui Jia, and Chuan Shi. 2020 · 2020
Cited alongside, same era.
Dynamic heterogeneous graph neural network for real-time event prediction. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining . 3213–3223
Wenjuan Luo, Han Zhang, Xiaodi Yang, Lin Bo, Xiaoqing Yang, Zang Li, Xiaohu Qie, and Jieping Ye. 2020 · 2020
Cited alongside, same era.
Inferring explicit and implicit social ties simultaneously in mobile social networks
Guojie Song, Yuanhao Li, Junshan Wang, and Lun Du. 2020 · 2020
Cited alongside, same era.
Dynamic heterogeneous information network embedding with meta-path based proximity
Xiao Wang, Yuanfu Lu, Chuan Shi, Ruijia Wang, Peng Cui, and Shuai Mou. 2020 · 2020
Cited alongside, same era.
Dynamic heterogeneous graph embedding using hierarchical attentions. In European Conference on Information Retrieval . Springer, 425–432
Luwei Yang, Zhibo Xiao, Wen Jiang, Yi Wei, Yi Hu, and Hao Wang. 2020 · 2020
Later among the works it cites.
Multi-view Dynamic Heterogeneous Information Network Embedding
Zhenghao Zhang, Jianbin Huang, and Qinglin Tan. 2020 · 2020
Later among the works it cites.
Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining . 2831–2839
Yujie Fan, Mingxuan Ju, Shifu Hou, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, and Qi Xiong. 2021 · 2021
Later among the works it cites.
Dynamic heterogeneous graph embedding via heterogeneous hawkes process. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases . Springer, 388–403
Yugang Ji, Tianrui Jia, Yuan Fang, and Chuan Shi. 2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, and Kannan Achan. 2020 · 2020
Cited alongside, same era.
Modeling dynamic heterogeneous network for link prediction using hierarchical attention with temporal rnn. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases . Springer, 282–298
Hansheng Xue, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, and Yu Lin. 2020 · 2020
Cited alongside, same era.
Tag2vec: Learning tag representations in tag networks. In The World Wide Web Conference . 3314–3320
Junshan Wang, Zhicong Lu, Guojia Song, Yue Fan, Lun Du, and Wei Lin. 2019b
Cited in the paper.
Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks.. In IJCAI . 3799–3805
Yun Wang, Lun Du, Guojie Song, Xiaojun Ma, Lichen Jin, Wei Lin, and Fei Sun. 2019a
Cited in the paper.
Inferring network structure with unobservable nodes from time series data
Mengyuan Chen, Yan Zhang, Zhang Zhang, Lun Du, Shuo Wang, and Jiang Zhang. 2022 · 2022
Closest in time.
Dynamic Network Embedding: An Extended Approach for Skip-gram based Network Embedding.. In IJCAI , Vol. 2018. 2086–2092
Lun Du, Yun Wang, Guojie Song, Zhicong Lu, and Junshan Wang. 2018 · 2092
Closest in time.