A Self-supervised Mixed-curvature Graph Neural Network

10 December 2021

Philip S. Yu

Papers citing "A Self-supervised Mixed-curvature Graph Neural Network"

21 / 21 papers shown

Title
Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries Neil He Jiahong Liu Buze Zhang N. Bui Ali Maatouk Menglin Yang Irwin King Melanie Weber Rex Ying 29 0 0 11 Apr 2025
Spectro-Riemannian Graph Neural Networks Karish Grover Haiyang Yu Xiang Song Qi Zhu Han Xie V. Ioannidis Christos Faloutsos 63 1 0 01 Feb 2025
Spiking Graph Neural Network on Riemannian Manifolds Li Sun Zhenhao Huang Qiqi Wan Hao Peng Philip S. Yu GNN AI4CE 25 1 0 23 Oct 2024
Mixed-Curvature Decision Trees and Random Forests Philippe Chlenski Quentin Chu I. Pe’er 34 1 0 07 Jun 2024
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering Li Sun Zhenhao Huang Hao Peng Yujie Wang Chunyang Liu Philip S. Yu GNN 35 11 0 20 May 2024
Hyperbolic Geometric Latent Diffusion Model for Graph Generation Xingcheng Fu Yisen Gao Yuecen Wei Qingyun Sun Hao Peng Jianxin Li Xianxian Li 27 4 0 06 May 2024
RCoCo: Contrastive Collective Link Prediction across Multiplex Network in Riemannian Space Li Sun Mengjie Li Yong Yang Xiao Li Lin Liu Pengfei Zhang Haohua Du 23 1 0 04 Mar 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 19 3 0 25 Jan 2024
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing Li Sun Zhenhao Huang Hua Wu Junda Ye Hao Peng Zhengtao Yu Philip S. Yu 24 11 0 23 Jan 2024
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces Li Sun Junda Ye Jiawei Zhang Yong Yang Mingsheng Liu Feiyang Wang Philip S. Yu 34 5 0 02 Jan 2024
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting Xiaobei Zou Luolin Xiong Yang Tang Jürgen Kurths AI4TS 29 1 0 05 Dec 2023
Torsion Graph Neural Networks Cong Shen Xiang Liu Jiawei Luo Kelin Xia 29 0 0 23 Jun 2023
SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds Junda Ye Zhongbao Zhang Li Sun Yang Yan Feiyang Wang Fuxin Ren 14 5 0 06 May 2023
Contrastive Graph Clustering in Curvature Spaces Li Sun Feiyang Wang Junda Ye Hao Peng Philip S. Yu 16 17 0 05 May 2023
Exploring Data Geometry for Continual Learning Zhi Gao C. Xu Feng Li Yunde Jia Mehrtash Harandi Yuwei Wu CLL 21 9 0 08 Apr 2023
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks See Hian Lee Feng Ji Wee Peng Tay 19 1 0 03 Mar 2023
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces Li Sun Junda Ye Hao Peng Feiyang Wang Philip S. Yu CLL 19 31 0 30 Nov 2022
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs Roshni G. Iyer Yunsheng Bai Wei Wang Yizhou Sun 56 18 0 19 Sep 2022
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning Li Sun Junda Ye Hao Peng Philip S. Yu 18 26 0 30 Aug 2022
Curvature Graph Generative Adversarial Networks Jianxin Li Xingcheng Fu Qingyun Sun Cheng Ji Jiajun Tan Jia Wu Hao Peng GAN 11 13 0 03 Mar 2022
Hyperbolic Graph Neural Networks: A Review of Methods and Applications Menglin Yang Min Zhou Zhihao Li Jiahong Liu Lujia Pan Hui Xiong Irwin King 16 52 0 28 Feb 2022