"non-euclidean data" Papers

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Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck

Xingcheng Fu, Yisen Gao, Beining Yang et al.

AAAI 2025paperarXiv:2412.17355
6
citations

Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction

Yisen Gao, Xingcheng Fu, Qingyun Sun et al.

NEURIPS 2025arXiv:2510.04522

Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes

Jaehyeong Jo, Sung Ju Hwang

ICML 2024arXiv:2310.07216
16
citations

Graph Mixup on Approximate Gromov–Wasserstein Geodesics

Zhichen Zeng, Ruizhong Qiu, Zhe Xu et al.

ICML 2024

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

Li Sun, Zhenhao Huang, Zixi Wang et al.

AAAI 2024paperarXiv:2401.01232
27
citations

Neural Gaussian Similarity Modeling for Differential Graph Structure Learning

Xiaolong Fan, Maoguo Gong, Yue Wu et al.

AAAI 2024paperarXiv:2312.09498
1
citations