H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction.

Ran Zhang|Xuezhi Wang|Sheng Wang|Kunpeng Liu|Yuanchun Zhou|Pengfei Wang


Anthology ID:DBLP:conf/cikm/00080W0Z024
Volume:Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
Year:2024
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:4283-4287
URL:https://doi.org/10.1145/3627673.3679936
DOI:https://doi.org/10.1145/3627673.3679936
DBLP:conf/cikm/00080W0Z024
BibTeX:
@inproceedings{zhang-2024-h2d, author = {Ran Zhang and Xuezhi Wang and Sheng Wang and Kunpeng Liu and Yuanchun Zhou and Pengfei Wang}, editor = {Edoardo Serra and Francesca Spezzano}, title = {{H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction}}, booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}}, pages = {4283--4287}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3627673.3679936}, doi = {https://doi.org/10.1145/3627673.3679936} }