euclidean space

A Hybrid Space Model for Misaligned Multi-modality Image Fusion AAAI 2026 Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy AAAI 2026 Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction ICML 2025 Fourier Sliced-Wasserstein Embedding for Multisets and Measures ICLR 2025 Fully-Scalable Massively Parallel Algorithm for k-center with Outliers AAAI 2025 Jump To Hyperspace: Comparing Euclidean and Hyperbolic Loss Functions for Hierarchical Multi-Label Text Classification COLING 2025 Neural Guided Diffusion Bridges ICML 2025 Strategic Network Creation for Enabling Greedy Routing AAAI 2025 Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learning COLING 2025 A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer ICML 2024 Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection NeurIPS 2024 Parameterized Approximation Schemes for Fair-Range Clustering NeurIPS 2024 Scalable Ultrafast Almost-optimal Euclidean Shortest Paths IJCAI 2024 SpeedE: Euclidean Geometric Knowledge Graph Embedding Strikes Back NAACL 2024 A Robust Exact Algorithm for the Euclidean Bipartite Matching Problem NeurIPS 2023 Error in the Euclidean Preference Model IJCAI 2023 Improved Learning-augmented Algorithms for k-means and k-medians Clustering ICLR 2023 On Coresets for Clustering in Small Dimensional Euclidean spaces ICML 2023 Geometry Interaction Knowledge Graph Embeddings AAAI 2022 Graph-based Nearest Neighbor Search in Hyperbolic Spaces ICLR 2022 Massively Parallel k-Means Clustering for Perturbation Resilient Instances ICML 2022 Multiwinner Elections under Minimax Chamberlin-Courant Rule in Euclidean Space IJCAI 2022 Parameterized Approximation Algorithms for K-center Clustering and Variants AAAI 2022 Condorcet Relaxation In Spatial Voting AAAI 2021 Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic NeurIPS 2021