Hyperbolic Graph Convolutional Neural Networks

28 October 2019

Papers citing "Hyperbolic Graph Convolutional Neural Networks"

50 / 296 papers shown

Title
Understanding over-squashing and bottlenecks on graphs via curvature Jake Topping Francesco Di Giovanni B. Chamberlain Xiaowen Dong M. Bronstein 41 425 0 29 Nov 2021
Quaternion-Based Graph Convolution Network for Recommendation Yaxing Fang Pengpeng Zhao Guanfeng Liu Yanchi Liu Victor S. Sheng Lei Zhao Xiaofang Zhou GNN 17 2 0 20 Nov 2021
Simplifying approach to Node Classification in Graph Neural Networks S. Maurya Xin Liu T. Murata 27 75 0 12 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 25 3 0 29 Oct 2021
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels Jiexi Yan Lei Luo Cheng Deng Heng-Chiao Huang NoLa 8 17 0 29 Oct 2021
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones Yushi Bai Rex Ying Hongyu Ren J. Leskovec 20 58 0 28 Oct 2021
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices F. López Beatrice Pozzetti Steve J. Trettel Michael Strube Anna Wienhard 30 17 0 26 Oct 2021
Beltrami Flow and Neural Diffusion on Graphs B. Chamberlain J. Rowbottom D. Eynard Francesco Di Giovanni Xiaowen Dong M. Bronstein AI4CE 34 79 0 18 Oct 2021
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network Xingcheng Fu Jianxin Li Jia Wu Qingyun Sun Cheng Ji Senzhang Wang Jiajun Tan Hao Peng Philip S. Yu 19 32 0 15 Oct 2021
Graph Meta Network for Multi-Behavior Recommendation Lianghao Xia Yong-mei Xu Chao Huang Peng Dai Liefeng Bo AI4CE 64 186 0 08 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 130 78 0 01 Oct 2021
HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning Mingyu Derek Ma Muhao Chen Te-Lin Wu Nanyun Peng 30 22 0 22 Sep 2021
Neural Distance Embeddings for Biological Sequences Gabriele Corso Rex Ying Michal Pándy Petar Velivcković J. Leskovec Pietro Lió 17 40 0 20 Sep 2021
Augmenting the User-Item Graph with Textual Similarity Models F. López Martin Scholz Jessica Yung Marie Pellat Michael Strube Lucas Dixon 11 5 0 20 Sep 2021
Graphine: A Dataset for Graph-aware Terminology Definition Generation Zequn Liu Shukai Wang Yiyang Gu Ruiyi Zhang Ming Zhang Sheng Wang MedIm 55 10 0 09 Sep 2021
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space Menglin Yang Min Zhou Marcus Kalander Zengfeng Huang Irwin King 33 121 0 08 Jul 2021
HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation Naicheng Guo Xiaolei Liu Shaoshuai Li Qiongxu Ma Yunan Zhao Bing Han Lin Zheng Kaixin Gao Xiaobo Guo 32 8 0 06 Jul 2021
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective Binghui Wang Jiayi Guo Ang Li Yiran Chen H. Li SSL 17 36 0 03 Jul 2021
Curvature Graph Neural Network Haifeng Li Jun Cao Jiawei Zhu Yu Liu Qing Zhu Guohua Wu 18 49 0 30 Jun 2021
Hyperbolic Busemann Learning with Ideal Prototypes Mina Ghadimi Atigh Martin Keller-Ressel Pascal Mettes 30 36 0 28 Jun 2021
Connecting Sphere Manifolds Hierarchically for Regularization Damien Scieur Youngsung Kim 3DH 11 3 0 25 Jun 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
Pseudo-Euclidean Attract-Repel Embeddings for Undirected Graphs A. Peysakhovich Anna Klimovskaia Susmel Léon Bottou GNN 22 0 0 17 Jun 2021
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach F. López Beatrice Pozzetti Steve J. Trettel Michael Strube Anna Wienhard 18 23 0 09 Jun 2021
Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures Sébastien Montella L. Rojas-Barahona Johannes Heinecke 12 27 0 08 Jun 2021
Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning Shuoran Jiang Qingcai Chen Xin Liu Baotian Hu Lisai Zhang 21 3 0 08 Jun 2021
Graph-MLP: Node Classification without Message Passing in Graph Yang Hu Haoxuan You Zhecan Wang Zhicheng Wang Erjin Zhou Yue Gao 24 107 0 08 Jun 2021
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections Ines Chami Albert Gu D. Nguyen Christopher Ré 16 45 0 07 Jun 2021
Pseudo-Riemannian Graph Convolutional Networks Bo Xiong Shichao Zhu Nico Potyka Shirui Pan Chuan Zhou Steffen Staab GNN 30 28 0 06 Jun 2021
Privileged Graph Distillation for Cold Start Recommendation Shuai Wang Anton van den Hengel Le Wu Haiping Ma Richang Hong Meng Wang 12 28 0 31 May 2021
Generalization Error Bound for Hyperbolic Ordinal Embedding Atsushi Suzuki Atsushi Nitanda Jing Wang Linchuan Xu M. Cavazza Kenji Yamanishi 14 10 0 21 May 2021
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems Sixiao Zhang Hongxu Chen Xiao Ming Li-zhen Cui Hongzhi Yin Guandong Xu 16 39 0 19 May 2021
Improving Graph Neural Networks with Simple Architecture Design S. Maurya Xin Liu T. Murata 26 47 0 17 May 2021
Hermitian Symmetric Spaces for Graph Embeddings F. López Beatrice Pozzetti Steve J. Trettel Anna Wienhard 11 0 0 11 May 2021
Unit Ball Model for Embedding Hierarchical Structures in the Complex Hyperbolic Space Huiru Xiao Caigao Jiang Yangqiu Song James Y. Zhang Junwu Xiong 19 1 0 09 May 2021
Business Entity Matching with Siamese Graph Convolutional Networks E. Krivosheev Mattia Atzeni Katsiaryna Mirylenka P. Scotton Christoph Miksovic Anton Zorin GNN 25 7 0 08 May 2021
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks Gongxu Luo Jianxin Li Jianlin Su Hao Peng Carl Yang Lichao Sun Philip S. Yu Lifang He 19 26 0 07 May 2021
HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction Shiyao Yan Zequn Zhang Xian Sun Guangluan Xu Li Jin Shuchao Li 20 0 0 20 Apr 2021
Lorentzian Graph Convolutional Networks Yiding Zhang Xiao Wang C. Shi Nian Liu Guojie Song 29 96 0 15 Apr 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network Jindou Dai Yuwei Wu Zhi Gao Yunde Jia 24 77 0 14 Apr 2021
Towards Efficient Graph Convolutional Networks for Point Cloud Handling Yawei Li He Chen Zhaopeng Cui Radu Timofte Marc Pollefeys Gregory S. Chirikjian Luc Van Gool 3DPC GNN 20 24 0 12 Apr 2021
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs Li Sun Zhongbao Zhang Jiawei Zhang Feiyang Wang Hao Peng Sen Su Philip S. Yu BDL 13 73 0 06 Apr 2021
Parameterized Hypercomplex Graph Neural Networks for Graph Classification Tuan Le Marco Bertolini Frank Noé Djork-Arné Clevert 8 15 0 30 Mar 2021
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders Jiwoong Park Junho Cho H. Chang J. Choi SSL 19 23 0 30 Mar 2021
Learning Hyperbolic Representations of Topological Features Panagiotis Kyriakis Iordanis Fostiropoulos P. Bogdan 11 10 0 16 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 35 108 0 08 Mar 2021
Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks Haifeng Li Jun Cao Jiawei Zhu Qing Zhu Guohua Wu GNN 14 2 0 02 Mar 2021
Link Prediction with Persistent Homology: An Interactive View Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Chao Chen 10 46 0 20 Feb 2021
Linear Classifiers in Product Space Forms Puoya Tabaghi Chao Pan Eli Chien Jianhao Peng Olgica Milenković 32 9 0 19 Feb 2021
Switch Spaces: Learning Product Spaces with Sparse Gating Shuai Zhang Yi Tay Wenqi Jiang Da-Cheng Juan Ce Zhang 49 7 0 17 Feb 2021