Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction.

Lin Chen|Ting Jiang|Hao Geng|Haolong Guo|Deqing Wang|Kirsten Vallmuur|Fuzhen Zhuang|Richi Nayak|Rui Liu|Xuehua Ming|Chenguang Du|Lin Chen|Ting Jiang|Haolong Guo|Kirsten Vallmuur|Richi Nayak|Rui Liu


Anthology ID:DBLP:conf/cikm/GengWZMDJG022
Volume:Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
Year:2022
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:572-581
URL:https://doi.org/10.1145/3511808.3557398
DOI:https://doi.org/10.1145/3511808.3557398
DBLP:conf/cikm/GengWZMDJG022
BibTeX:
@inproceedings{chen-2022-modeling, author = {Lin Chen and Ting Jiang and Hao Geng and Haolong Guo and Deqing Wang and Kirsten Vallmuur and Fuzhen Zhuang and Richi Nayak and Rui Liu and Xuehua Ming and Chenguang Du and Lin Chen and Ting Jiang and Haolong Guo and Kirsten Vallmuur and Richi Nayak and Rui Liu}, editor = {Mohammad Al Hasan and Li Xiong}, title = {{Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction}}, booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}}, pages = {572--581}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3511808.3557398}, doi = {https://doi.org/10.1145/3511808.3557398} }