topological feature

3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence WACV 2026 FILTR: Extracting Topological Features from Pretrained 3D Models CVPR 2026 Integrating Multi-scale and Multi-filtration Topological Features for Medical Image Classification WACV 2026 Enhancing Graph Representation Learning with Localized Topological Features JMLR 2025 Persistent Topological Features in Large Language Models ICML 2025 Revisiting Point Cloud Completion: Are We Ready For The Real-World? ICCV 2025 Semantic Topology: a New Perspective for Communication Style Characterization ACL 2025 TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction ICML 2025 Boosting Graph Pooling with Persistent Homology NeurIPS 2024 Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond NeurIPS 2024 Neural Persistence Dynamics NeurIPS 2024 PHG-Net: Persistent Homology Guided Medical Image Classification WACV 2024 Position: Topological Deep Learning is the New Frontier for Relational Learning ICML 2024 Scalar Function Topology Divergence: Comparing Topology of 3D Objects ECCV 2024 Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes AAAI 2024 Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds NeurIPS 2023 Going beyond persistent homology using persistent homology NeurIPS 2023 Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks ICLR 2023 Learning topology-preserving data representations ICLR 2023 Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes ICML 2023 TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models NeurIPS 2023 Dist2Cycle: A Simplicial Neural Network for Homology Localization AAAI 2022 Neural Approximation of Graph Topological Features NeurIPS 2022 Link Prediction with Persistent Homology: An Interactive View ICML 2021 Topological Attention for Time Series Forecasting NeurIPS 2021