Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks.

Zihan Luo|Jianxun Lian|Hong Huang|Hai Jin|Xing Xie


Anthology ID:DBLP:conf/wsdm/LuoL00022
Volume:WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
Year:2022
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:638-647
URL:https://doi.org/10.1145/3488560.3498460
DOI:https://doi.org/10.1145/3488560.3498460
DBLP:conf/wsdm/LuoL00022
BibTeX:
@inproceedings{luo-2022-adagnn, author = {Zihan Luo and Jianxun Lian and Hong Huang and Hai Jin and Xing Xie}, editor = {K. Sel\c{c}uk Candan and Huan Liu and Leman Akoglu and Xin Dong and Jiliang Tang}, title = {{Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks}}, booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}}, pages = {638--647}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3488560.3498460}, doi = {https://doi.org/10.1145/3488560.3498460} }