"non-euclidean data" Papers

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Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes

Jaehyeong Jo, Sung Ju Hwang

ICML 2024poster

Graph Mixup on Approximate Gromov–Wasserstein Geodesics

Zhichen Zeng, Ruizhong Qiu, Zhe Xu et al.

ICML 2024poster

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning

Li Sun, Zhenhao Huang, Zixi Wang et al.

AAAI 2024paperarXiv:2401.01232
26
citations

Neural Gaussian Similarity Modeling for Differential Graph Structure Learning

Xiaolong Fan, Maoguo Gong, Yue Wu et al.

AAAI 2024paperarXiv:2312.09498
1
citations