{"total":402,"rows":[{"id":"2111.14522","title":"Understanding over-squashing and bottlenecks on graphs via curvature","created":"2021-11-29","cited_by_count":478,"area":null},{"id":"2307.03759","title":"A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection","created":"2023-07-07","cited_by_count":145,"area":null},{"id":"2101.04562","title":"Hyperbolic Deep Neural Networks: A Survey","created":"2021-01-12","cited_by_count":139,"area":null},{"id":"2101.11859","title":"Interpreting and Unifying Graph Neural Networks with An Optimization Framework","created":"2021-01-28","cited_by_count":131,"area":null},{"id":"2105.14686","title":"Fully Hyperbolic Neural Networks","created":"2021-05-31","cited_by_count":108,"area":null},{"id":"2203.05898","title":"Hyperbolic Image Segmentation","created":"2022-03-11","cited_by_count":102,"area":null},{"id":"2103.05045","title":"Size-Invariant Graph Representations for Graph Classification Extrapolations","created":"2021-03-08","cited_by_count":84,"area":null},{"id":"2110.09443","title":"Beltrami Flow and Neural Diffusion on Graphs","created":"2021-10-18","cited_by_count":84,"area":null},{"id":"2106.04051","title":"Graph-MLP: Node Classification without Message Passing in Graph","created":"2021-06-08","cited_by_count":73,"area":null},{"id":"2305.06611","title":"Hyperbolic Deep Learning in Computer Vision: A Survey","created":"2023-05-11","cited_by_count":73,"area":null},{"id":"2104.07477","title":"Lorentzian Graph Convolutional Networks","created":"2021-04-15","cited_by_count":68,"area":null},{"id":"2107.03767","title":"Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space","created":"2021-07-08","cited_by_count":67,"area":null},{"id":"2110.00577","title":"Reconstruction for Powerful Graph Representations","created":"2021-10-01","cited_by_count":65,"area":null},{"id":"2212.00653","title":"Hyperbolic Contrastive Learning for Visual Representations beyond Objects","created":"2022-12-01","cited_by_count":61,"area":null},{"id":"2206.11168","title":"Ordered Subgraph Aggregation Networks","created":"2022-06-22","cited_by_count":57,"area":null},{"id":"2111.06748","title":"Simplifying approach to Node Classification in Graph Neural Networks","created":"2021-11-12","cited_by_count":56,"area":null},{"id":"2104.06942","title":"A Hyperbolic-to-Hyperbolic Graph Convolutional Network","created":"2021-04-14","cited_by_count":53,"area":null},{"id":"2104.02228","title":"Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs","created":"2021-04-06","cited_by_count":50,"area":null},{"id":"2101.01600","title":"Learning the Predictability of the Future","created":"2021-01-01","cited_by_count":49,"area":null},{"id":"2303.15919","title":"Fully Hyperbolic Convolutional Neural Networks for Computer Vision","created":"2023-03-28","cited_by_count":49,"area":null},{"id":"2106.03306","title":"HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections","created":"2021-06-07","cited_by_count":47,"area":null},{"id":"2303.06242","title":"HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations","created":"2023-03-10","cited_by_count":44,"area":null},{"id":"2407.01290","title":"Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space","created":"2024-07-01","cited_by_count":43,"area":null},{"id":"2502.10818","title":"On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning","created":"2025-02-15","cited_by_count":43,"area":null},{"id":"2105.07634","title":"Improving Graph Neural Networks with Simple Architecture Design","created":"2021-05-17","cited_by_count":41,"area":null},{"id":"2106.14472","title":"Hyperbolic Busemann Learning with Ideal Prototypes","created":"2021-06-28","cited_by_count":41,"area":null},{"id":"2202.13852","title":"Hyperbolic Graph Neural Networks: A Review of Methods and Applications","created":"2022-02-28","cited_by_count":40,"area":null},{"id":"2210.05801","title":"Linkless Link Prediction via Relational Distillation","created":"2022-10-11","cited_by_count":39,"area":null},{"id":"2110.03969","title":"Graph Meta Network for Multi-Behavior Recommendation","created":"2021-10-08","cited_by_count":38,"area":null},{"id":"2110.14923","title":"Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones","created":"2021-10-28","cited_by_count":38,"area":null},{"id":"2102.10255","title":"Link Prediction with Persistent Homology: An Interactive View","created":"2021-02-20","cited_by_count":37,"area":null},{"id":"2203.13913","title":"SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks","created":"2022-03-25","cited_by_count":37,"area":null},{"id":"2502.03251","title":"RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry","created":"2025-02-05","cited_by_count":35,"area":null},{"id":"2204.08176","title":"HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization","created":"2022-04-18","cited_by_count":34,"area":null},{"id":"2112.05393","title":"A Self-supervised Mixed-curvature Graph Neural Network","created":"2021-12-10","cited_by_count":33,"area":null},{"id":"2211.17068","title":"Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces","created":"2022-11-30","cited_by_count":32,"area":"distill"},{"id":"2106.03134","title":"Pseudo-Riemannian Graph Convolutional Networks","created":"2021-06-06","cited_by_count":30,"area":null},{"id":"2206.14017","title":"Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing","created":"2022-06-28","cited_by_count":30,"area":null},{"id":"2410.04010","title":"Hyperbolic Fine-Tuning for Large Language Models","created":"2024-10-05","cited_by_count":27,"area":null},{"id":"2310.10121","title":"From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond","created":"2023-10-16","cited_by_count":26,"area":null},{"id":"2110.07888","title":"ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network","created":"2021-10-15","cited_by_count":25,"area":null},{"id":"2303.14027","title":"Poincar\\'e ResNet","created":"2023-03-24","cited_by_count":25,"area":null},{"id":"2105.08908","title":"Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems","created":"2021-05-19","cited_by_count":24,"area":null},{"id":"2106.15762","title":"Curvature Graph Neural Network","created":"2021-06-30","cited_by_count":24,"area":null},{"id":"2207.09051","title":"HICF: Hyperbolic Informative Collaborative Filtering","created":"2022-07-19","cited_by_count":24,"area":null},{"id":"2208.14073","title":"A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning","created":"2022-08-30","cited_by_count":24,"area":null},{"id":"2304.00932","title":"HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion","created":"2023-04-03","cited_by_count":24,"area":null},{"id":"2106.04941","title":"Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach","created":"2021-06-09","cited_by_count":23,"area":null},{"id":"2107.01475","title":"Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective","created":"2021-07-03","cited_by_count":23,"area":null},{"id":"2202.01185","title":"Heterogeneous manifolds for curvature-aware graph embedding","created":"2022-02-02","cited_by_count":23,"area":null},{"id":"2209.14930","title":"Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges","created":"2022-09-29","cited_by_count":23,"area":null},{"id":"2211.16199","title":"Latent Graph Inference using Product Manifolds","created":"2022-11-26","cited_by_count":23,"area":null},{"id":"2304.05059","title":"Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification","created":"2023-04-11","cited_by_count":23,"area":null},{"id":"2110.13475","title":"Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices","created":"2021-10-26","cited_by_count":22,"area":null},{"id":"2211.12347","title":"The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation","created":"2022-11-22","cited_by_count":22,"area":null},{"id":"2311.07073","title":"Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges","created":"2023-11-13","cited_by_count":22,"area":null},{"id":"2112.06826","title":"BScNets: Block Simplicial Complex Neural Networks","created":"2021-12-13","cited_by_count":21,"area":null},{"id":"2306.09118","title":"Hyperbolic Representation Learning: Revisiting and Advancing","created":"2023-06-15","cited_by_count":21,"area":null},{"id":"2310.10013","title":"Riemannian Residual Neural Networks","created":"2023-10-16","cited_by_count":21,"area":null},{"id":"2405.11801","title":"LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering","created":"2024-05-20","cited_by_count":21,"area":null},{"id":"2201.07409","title":"Dual Space Graph Contrastive Learning","created":"2022-01-19","cited_by_count":20,"area":null},{"id":"2201.08554","title":"Enhancing Hyperbolic Graph Embeddings via Contrastive Learning","created":"2022-01-21","cited_by_count":20,"area":null},{"id":"2206.00449","title":"Ultrahyperbolic Knowledge Graph Embeddings","created":"2022-06-01","cited_by_count":20,"area":null},{"id":"2306.11443","title":"UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction","created":"2023-06-20","cited_by_count":20,"area":null},{"id":"2310.18608","title":"Embedding in Recommender Systems: A Survey","created":"2023-10-28","cited_by_count":20,"area":null},{"id":"2405.03188","title":"Hyperbolic Geometric Latent Diffusion Model for Graph Generation","created":"2024-05-06","cited_by_count":20,"area":"diffusion"},{"id":"2504.06120","title":"Hyperbolic Category Discovery","created":"2025-04-08","cited_by_count":20,"area":null},{"id":"2507.17787","title":"Hyperbolic Deep Learning for Foundation Models: A Survey","created":"2025-07-23","cited_by_count":20,"area":"mllm"},{"id":"2308.12558","title":"Hyperbolic Audio-visual Zero-shot Learning","created":"2023-08-24","cited_by_count":19,"area":null},{"id":"2104.05706","title":"Towards Efficient Graph Convolutional Networks for Point Cloud Handling","created":"2021-04-12","cited_by_count":18,"area":null},{"id":"2305.18962","title":"Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning","created":"2023-05-30","cited_by_count":18,"area":null},{"id":"2306.11180","title":"Hyperbolic Active Learning for Semantic Segmentation under Domain Shift","created":"2023-06-19","cited_by_count":18,"area":null},{"id":"2309.04810","title":"Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization","created":"2023-09-09","cited_by_count":18,"area":null},{"id":"2504.08896","title":"Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries","created":"2025-04-11","cited_by_count":18,"area":null},{"id":"2109.09740","title":"Neural Distance Embeddings for Biological Sequences","created":"2021-09-20","cited_by_count":17,"area":null},{"id":"2201.12032","title":"Neural Approximation of Graph Topological Features","created":"2022-01-28","cited_by_count":17,"area":null},{"id":"2404.17099","title":"Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND","created":"2024-04-26","cited_by_count":17,"area":null},{"id":"2412.14695","title":"Lorentzian Residual Neural Networks","created":"2024-12-19","cited_by_count":17,"area":null},{"id":"2401.12780","title":"DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing","created":"2024-01-23","cited_by_count":16,"area":null},{"id":"2410.17941","title":"Spiking Graph Neural Network on Riemannian Manifolds","created":"2024-10-23","cited_by_count":16,"area":null},{"id":"2103.16046","title":"Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders","created":"2021-03-30","cited_by_count":15,"area":null},{"id":"2204.08838","title":"Rumor Detection with Self-supervised Learning on Texts and Social Graph","created":"2022-04-19","cited_by_count":15,"area":null},{"id":"2211.02641","title":"Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis","created":"2022-10-25","cited_by_count":15,"area":null},{"id":"2305.03555","title":"Contrastive Graph Clustering in Curvature Spaces","created":"2023-05-05","cited_by_count":15,"area":null},{"id":"2309.04082","title":"Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning","created":"2023-09-08","cited_by_count":15,"area":null},{"id":"2505.24623","title":"Hyperbolic Dataset Distillation","created":"2025-05-30","cited_by_count":15,"area":null},{"id":"2109.10500","title":"HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning","created":"2021-09-22","cited_by_count":14,"area":null},{"id":"2112.03402","title":"Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design","created":"2021-12-03","cited_by_count":14,"area":null},{"id":"2212.01793","title":"kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning","created":"2022-12-04","cited_by_count":14,"area":null},{"id":"2304.07302","title":"HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction","created":"2023-04-14","cited_by_count":14,"area":null},{"id":"2105.03178","title":"Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks","created":"2021-05-07","cited_by_count":13,"area":null},{"id":"2211.09224","title":"Are we certain it's anomalous?","created":"2022-11-16","cited_by_count":13,"area":null},{"id":"2405.19206","title":"Matrix Manifold Neural Networks++","created":"2024-05-29","cited_by_count":13,"area":null},{"id":"2105.10475","title":"Generalization Error Bound for Hyperbolic Ordinal Embedding","created":"2021-05-21","cited_by_count":12,"area":null},{"id":"2106.04311","title":"Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures","created":"2021-06-08","cited_by_count":12,"area":null},{"id":"2205.09494","title":"Differentially private Riemannian optimization","created":"2022-05-19","cited_by_count":12,"area":null},{"id":"2209.08767","title":"Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs","created":"2022-09-19","cited_by_count":12,"area":null},{"id":"2303.03387","title":"CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network","created":"2023-03-02","cited_by_count":12,"area":null},{"id":"2305.18797","title":"Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic Space","created":"2023-05-30","cited_by_count":12,"area":null},{"id":"2305.18965","title":"Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks","created":"2023-05-30","cited_by_count":12,"area":null}],"next_cursor":"100"}