Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method.

Fuli Feng|Weiran Huang|Xiangnan He|Xin Xin|Qifan Wang|Tat-Seng Chua


Anthology ID:DBLP:conf/sigir/Feng00XWC21
Volume:SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
Year:2021
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1208-1218
URL:https://doi.org/10.1145/3404835.3462971
DOI:https://doi.org/10.1145/3404835.3462971
DBLP:conf/sigir/Feng00XWC21
BibTeX:
@inproceedings{feng-2021-graph, author = {Fuli Feng and Weiran Huang and Xiangnan He and Xin Xin and Qifan Wang and Tat-Seng Chua}, editor = {Fernando Diaz and Chirag Shah and Torsten Suel and Pablo Castells and Rosie Jones and Tetsuya Sakai}, title = {{Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method}}, booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}}, pages = {1208--1218}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3404835.3462971}, doi = {https://doi.org/10.1145/3404835.3462971} }