Contrastive learning meets homophily: two birds with one stone D He, J Zhao, R Guo, Z Feng, D Jin, Y Huang, Z Wang, W Zhang International Conference on Machine Learning, 12775-12789, 2023 | 18 | 2023 |
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning D He, J Zhao, C Huo, Y Huang, Y Huang, Z Feng Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12340 …, 2024 | 6 | 2024 |
A PREDICTION MODEL OF USER BUYING BEHAVIOR BASED ON LSTM AND SVM X Bingbing, Z Jitao, W Xianyi 2021 6th International Symposium on Computer and Information Processing …, 2021 | 1 | 2021 |
Graph contrastive learning with multiple information fusion X Wang, J Yang, Z Wang, D He, J Zhao, Y Huang, D Jin Expert Systems with Applications, 126129, 2024 | | 2024 |
GA-GGD: Improving semantic discriminability in graph contrastive learning via Generative Adversarial Network J Zhao, D He, M Ge, Y Huang, L Shan, Y Qin, Z Feng Information Fusion, 102465, 2024 | | 2024 |
FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features J Zhao, D Jin, M Ge, L Shan, X Wang, D He, Z Feng The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering D He, L Shan, J Zhao, H Zhang, Z Wang, W Zhang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |