MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models.

@inproceedings{yan-2025-mokgnn, author = {Hao Yan and Chaozhuo Li and Jun Yin and Weihao Han and Hao Sun and Senzhang Wang and Jian Zhang and Jianxin Wang}, editor = {Wolfgang Nejdl and S\"{o}ren Auer and Meeyoung Cha and Marie-Francine Moens and Marc Najork}, title = {{MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models}}, booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}}, pages = {242--250}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701551.3703571}, doi = {https://doi.org/10.1145/3701551.3703571} }