Seguir
Jiong Zhu
Jiong Zhu
Applied Scientist, Amazon
Dirección de correo verificada de amazon.com - Página principal
Título
Citado por
Citado por
Año
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
J Zhu, Y Yan, L Zhao, M Heimann, L Akoglu, D Koutra
Advances in Neural Information Processing Systems 33, 2020
8852020
Graph neural networks with heterophily
J Zhu, RA Rossi, A Rao, T Mai, N Lipka, NK Ahmed, D Koutra
Proceedings of the AAAI conference on artificial intelligence 35 (12), 11168 …, 2021
2822021
Groupinn: Grouping-based interpretable neural network for classification of limited, noisy brain data
Y Yan, J Zhu, M Duda, E Solarz, C Sripada, D Koutra
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
952019
How does heterophily impact the robustness of graph neural networks? theoretical connections and practical implications
J Zhu, J Jin, D Loveland, MT Schaub, D Koutra
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
38*2022
On performance discrepancies across local homophily levels in graph neural networks
D Loveland, J Zhu, M Heimann, B Fish, MT Schaub, D Koutra
Learning on Graphs Conference, 6: 1-6: 30, 2024
8*2024
Heterophily and graph neural networks: Past, present and future
J Zhu, Y Yan, M Heimann, L Zhao, L Akoglu, D Koutra
IEEE Data Engineering Bulletin, 2023
72023
Graph coarsening via convolution matching for scalable graph neural network training
C Dickens, E Huang, A Reganti, J Zhu, K Subbian, D Koutra
Companion Proceedings of the ACM on Web Conference 2024, 1502-1510, 2024
32024
Simplifying distributed neural network training on massive graphs: Randomized partitions improve model aggregation
J Zhu, A Reganti, E Huang, C Dickens, N Rao, K Subbian, D Koutra
arXiv preprint arXiv:2305.09887, 2023
22023
Graph neural networks for datasets with heterophily
R Rossi, T Mai, N Lipka, J Zhu, A Rao, V Swaminathan
US Patent App. 17/210,157, 2022
22022
The 3rd Workshop on Graph Learning Benchmarks (GLB 2023)
J Ma, J Zhu, Y Dong, D Koutra, J He, Q Mei, A Tsitsulin, X Zhang, M Zitnik
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
2023
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–10