Saved in:
| Main Authors: | Yang, Yi, Daescu, Ovidiu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.06336 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Diffusion Graph Neural Networks and Dataset for Robust Olfactory Navigation in Hazard Robotics
by: France, Kordel K., et al.
Published: (2025)
by: France, Kordel K., et al.
Published: (2025)
Grow-Prune-Freeze Networks: Adaptive & Continual Learning Technique for Olfactory Navigation
by: France, Kordel K., et al.
Published: (2026)
by: France, Kordel K., et al.
Published: (2026)
Multi-Scale Adaptive Neighborhood Awareness Transformer For Graph Fraud Detection
by: Lv, Jiaqi, et al.
Published: (2026)
by: Lv, Jiaqi, et al.
Published: (2026)
Multi-Modal Molecular Representation Learning via Structure Awareness
by: Yin, Rong, et al.
Published: (2025)
by: Yin, Rong, et al.
Published: (2025)
Divide and Learn: Multi-Objective Combinatorial Optimization at Scale
by: Singh, Esha, et al.
Published: (2026)
by: Singh, Esha, et al.
Published: (2026)
PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation
by: Chen, Yanlong, et al.
Published: (2025)
by: Chen, Yanlong, et al.
Published: (2025)
Bi-LoRA: Efficient Sharpness-Aware Minimization for Fine-Tuning Large-Scale Models
by: Liu, Yuhang, et al.
Published: (2025)
by: Liu, Yuhang, et al.
Published: (2025)
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting
by: Zou, Xiaobei, et al.
Published: (2023)
by: Zou, Xiaobei, et al.
Published: (2023)
Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning
by: Jing, Zihao, et al.
Published: (2025)
by: Jing, Zihao, et al.
Published: (2025)
Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling
by: Li, Mengran, et al.
Published: (2025)
by: Li, Mengran, et al.
Published: (2025)
Neighbourhood Transformer: Switchable Attention for Monophily-Aware Graph Learning
by: Luo, Yi, et al.
Published: (2026)
by: Luo, Yi, et al.
Published: (2026)
Graph Propagation Transformer for Graph Representation Learning
by: Chen, Zhe, et al.
Published: (2023)
by: Chen, Zhe, et al.
Published: (2023)
GQWformer: A Quantum-based Transformer for Graph Representation Learning
by: Yu, Lei, et al.
Published: (2024)
by: Yu, Lei, et al.
Published: (2024)
Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification
by: Baek, Seunghun, et al.
Published: (2025)
by: Baek, Seunghun, et al.
Published: (2025)
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
by: Liao, Yi-Lun, et al.
Published: (2023)
by: Liao, Yi-Lun, et al.
Published: (2023)
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations
by: Chen, Yili, et al.
Published: (2023)
by: Chen, Yili, et al.
Published: (2023)
GTR-Voice: Articulatory Phonetics Informed Controllable Expressive Speech Synthesis
by: Li, Zehua Kcriss, et al.
Published: (2024)
by: Li, Zehua Kcriss, et al.
Published: (2024)
Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction
by: Wu, Jiele, et al.
Published: (2026)
by: Wu, Jiele, et al.
Published: (2026)
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning
by: Kim, Jongwoo, et al.
Published: (2024)
by: Kim, Jongwoo, et al.
Published: (2024)
Olfactory Inertial Odometry: Methodology for Effective Robot Navigation by Scent
by: France, Kordel K., et al.
Published: (2025)
by: France, Kordel K., et al.
Published: (2025)
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
by: Shen, Qianli, et al.
Published: (2024)
by: Shen, Qianli, et al.
Published: (2024)
Unifying Learning Dynamics and Generalization in Transformers Scaling Law
by: Yang, Chiwun
Published: (2025)
by: Yang, Chiwun
Published: (2025)
WATS: Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling
by: Li, Xiaoyang, et al.
Published: (2025)
by: Li, Xiaoyang, et al.
Published: (2025)
Training-Free Geospatial Place Representation Learning from Large-Scale Point-of-Interest Graph Data
by: Hashemi, Mohammad, et al.
Published: (2025)
by: Hashemi, Mohammad, et al.
Published: (2025)
Molecular Graph Representation Learning via Structural Similarity Information
by: Yao, Chengyu, et al.
Published: (2024)
by: Yao, Chengyu, et al.
Published: (2024)
Scaling Graph Transformers: A Comparative Study of Sparse and Dense Attention
by: Dimitrov, Leon
Published: (2025)
by: Dimitrov, Leon
Published: (2025)
Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling
by: Tamoyan, Hovhannes, et al.
Published: (2025)
by: Tamoyan, Hovhannes, et al.
Published: (2025)
Scaling-Aware Adapter for Structure-Grounded LLM Reasoning
by: Jing, Zihao, et al.
Published: (2026)
by: Jing, Zihao, et al.
Published: (2026)
SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs
by: Amouzouvi, Kossi, et al.
Published: (2025)
by: Amouzouvi, Kossi, et al.
Published: (2025)
MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving
by: Luo, Yichen, et al.
Published: (2025)
by: Luo, Yichen, et al.
Published: (2025)
Fraud Detection Through Large-Scale Graph Clustering with Heterogeneous Link Transformation
by: Liu, Chi
Published: (2025)
by: Liu, Chi
Published: (2025)
Leveraging Manifold Embeddings for Enhanced Graph Transformer Representations and Learning
by: Jyothish, Ankit, et al.
Published: (2025)
by: Jyothish, Ankit, et al.
Published: (2025)
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
by: Chung, Chanyoung, et al.
Published: (2023)
by: Chung, Chanyoung, et al.
Published: (2023)
Scale-Adaptive Power Flow Analysis with Local Topology Slicing and Multi-Task Graph Learning
by: Li, Yongzhe, et al.
Published: (2026)
by: Li, Yongzhe, et al.
Published: (2026)
Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation
by: Hossen, Md Sazzad, et al.
Published: (2026)
by: Hossen, Md Sazzad, et al.
Published: (2026)
t-SMILES: A Scalable Fragment-based Molecular Representation Framework for De Novo Molecule Generation
by: Wu, Juan-Ni, et al.
Published: (2023)
by: Wu, Juan-Ni, et al.
Published: (2023)
Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning
by: Wang, Ling, et al.
Published: (2024)
by: Wang, Ling, et al.
Published: (2024)
Learning Causal Graphs at Scale: A Foundation Model Approach
by: Yin, Naiyu, et al.
Published: (2025)
by: Yin, Naiyu, et al.
Published: (2025)
Sample Complexity and Representation Ability of Test-time Scaling Paradigms
by: Huang, Baihe, et al.
Published: (2025)
by: Huang, Baihe, et al.
Published: (2025)
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting
by: Xu, Xiongxiao, et al.
Published: (2024)
by: Xu, Xiongxiao, et al.
Published: (2024)
Similar Items
-
Diffusion Graph Neural Networks and Dataset for Robust Olfactory Navigation in Hazard Robotics
by: France, Kordel K., et al.
Published: (2025) -
Grow-Prune-Freeze Networks: Adaptive & Continual Learning Technique for Olfactory Navigation
by: France, Kordel K., et al.
Published: (2026) -
Multi-Scale Adaptive Neighborhood Awareness Transformer For Graph Fraud Detection
by: Lv, Jiaqi, et al.
Published: (2026) -
Multi-Modal Molecular Representation Learning via Structure Awareness
by: Yin, Rong, et al.
Published: (2025) -
Divide and Learn: Multi-Objective Combinatorial Optimization at Scale
by: Singh, Esha, et al.
Published: (2026)