1. Graph Neural Networks for Social Recommendation
2. Manon Réau , Nicolas Renaud , Li C Xue , and Alexandre MJJ Bonvin . Deeprankgnn: a graph neural network framework to learn patterns in protein-protein interfaces. Bioinformatics, 39(1):btac759 , 2023 . Manon Réau, Nicolas Renaud, Li C Xue, and Alexandre MJJ Bonvin. Deeprankgnn: a graph neural network framework to learn patterns in protein-protein interfaces. Bioinformatics, 39(1):btac759, 2023.
3. Justin Gilmer , Samuel S Schoenholz , Patrick F Riley , Oriol Vinyals , and George E Dahl . Neural message passing for quantum chemistry . In International conference on machine learning , pages 1263 -- 1272 . PMLR, 2017 . Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl. Neural message passing for quantum chemistry. In International conference on machine learning, pages 1263--1272. PMLR, 2017.
4. Hatem Helal , Jesun Firoz , Jenna Bilbrey , Mario Michael Krell , Tom Murray, Ang Li, Sotiris Xantheas, and Sutanay Choudhury. Extreme acceleration of graph neural network-based prediction models for quantum chemistry. arXiv preprint arXiv:2211.13853 , 2022 . Hatem Helal, Jesun Firoz, Jenna Bilbrey, Mario Michael Krell, Tom Murray, Ang Li, Sotiris Xantheas, and Sutanay Choudhury. Extreme acceleration of graph neural network-based prediction models for quantum chemistry. arXiv preprint arXiv:2211.13853, 2022.
5. Yue Wang , Yongbin Sun , Ziwei Liu , Sanjay E. Sarma , Michael M. Bronstein , and Justin M. Solomon . Dynamic graph cnn for learning on point clouds. ACM Trans. Graph., 38(5), oct 2019 . Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, and Justin M. Solomon. Dynamic graph cnn for learning on point clouds. ACM Trans. Graph., 38(5), oct 2019.