Paper "graph representation learning" Papers
11 papers found
Conference
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.
AAAI 2025paperarXiv:2412.15582
3
citations
Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach
Hang Gao, Chenhao Zhang, Fengge Wu et al.
AAAI 2025paperarXiv:2412.08038
5
citations
Cross-View Graph Consistency Learning for Invariant Graph Representations
Jie Chen, Hua Mao, Wai Lok Woo et al.
AAAI 2025paperarXiv:2311.11821
1
citations
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation
Qiyu Kang, Xuhao Li, Kai Zhao et al.
AAAI 2025paperarXiv:2503.16666
3
citations
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
Zihao Guo, Qingyun Sun, Haonan Yuan et al.
AAAI 2025paperarXiv:2412.11085
17
citations
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective
Yiming Xu, Zhen Peng, Bin Shi et al.
AAAI 2025paperarXiv:2507.14677
8
citations
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning
Tianhao Peng, Xuhong Li, Haitao Yuan et al.
AAAI 2025paperarXiv:2503.10100
4
citations
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
Kangkang Lu, Yanhua Yu, Hao Fei et al.
AAAI 2024paperarXiv:2401.15603
9
citations
PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering
Bingheng Li, Erlin Pan, Zhao Kang
AAAI 2024paperarXiv:2312.14438
57
citations
TopoGCL: Topological Graph Contrastive Learning
Yuzhou Chen, Jose Frias, Yulia Gel
AAAI 2024paperarXiv:2406.17251
30
citations
Union Subgraph Neural Networks
Jiaxing Xu, Aihu Zhang, Qingtian Bian et al.
AAAI 2024paperarXiv:2305.15747
11
citations