Training Heterogeneous Graph Neural Networks using Bandit Sampling.

Ta-Yang Wang|Rajgopal Kannan|Viktor K. Prasanna


Anthology ID:DBLP:conf/cikm/WangKP23
Volume:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Year:2023
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:4345-4349
URL:https://doi.org/10.1145/3583780.3615276
DOI:https://doi.org/10.1145/3583780.3615276
DBLP:conf/cikm/WangKP23
BibTeX:
@inproceedings{wang-2023-training, author = {Ta-Yang Wang and Rajgopal Kannan and Viktor K. Prasanna}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{Training Heterogeneous Graph Neural Networks using Bandit Sampling}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {4345--4349}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3615276}, doi = {https://doi.org/10.1145/3583780.3615276} }