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}
}