:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Luo, Yi, Sun, Xu, Luo, Guangchun, Chen, Aiguo
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2604.08980
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Causal Neighbourhood Learning for Invariant Graph Representations
por: Job, Simi, et al.
Publicado: (2026)

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning
por: Li, Chenglin, et al.
Publicado: (2024)

Graph Diffusion Transformers are In-Context Molecular Designers
por: Liu, Gang, et al.
Publicado: (2025)

BiScale-GTR: Fragment-Aware Graph Transformers for Multi-Scale Molecular Representation Learning
por: Yang, Yi, et al.
Publicado: (2026)

CMKL: Modality-Aware Continual Learning for Evolving Biomedical Knowledge Graphs
por: Radwan, Yousef A., et al.
Publicado: (2026)

Local-Curvature-Aware Knowledge Graph Embedding: An Extended Ricci Flow Approach
por: Luo, Zhengquan, et al.
Publicado: (2025)

Learning Spatio-Temporal Dynamics for Trajectory Recovery via Time-Aware Transformer
por: Sun, Tian, et al.
Publicado: (2025)

Shape-aware Graph Spectral Learning
por: Xu, Junjie, et al.
Publicado: (2023)

CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly Detection
por: Li, Jindong, et al.
Publicado: (2024)

Text-Aware Diffusion for Policy Learning
por: Luo, Calvin, et al.
Publicado: (2024)

Towards Mechanistic Interpretability of Graph Transformers via Attention Graphs
por: El, Batu, et al.
Publicado: (2025)

Graph Convolutions Enrich the Self-Attention in Transformers!
por: Choi, Jeongwhan, et al.
Publicado: (2023)

Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
por: Zhang, Jiaxing, et al.
Publicado: (2025)

Dispatch-Aware Ragged Attention for Pruned Vision Transformers
por: Abdellatif, Seifeldin, et al.
Publicado: (2026)

InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation
por: Zhao, Weilin, et al.
Publicado: (2025)

DAQ: Density-Aware Post-Training Weight-Only Quantization For LLMs
por: Luo, Yingsong, et al.
Publicado: (2024)

CAP: Controllable Alignment Prompting for Unlearning in LLMs
por: Wang, Zhaokun, et al.
Publicado: (2026)

Orientation-Aware Graph Neural Networks for Protein Structure Representation Learning
por: Li, Jiahan, et al.
Publicado: (2022)

Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
por: Luo, Yihong, et al.
Publicado: (2024)

GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning
por: Sun, Zhongtian, et al.
Publicado: (2025)

Graph Propagation Transformer for Graph Representation Learning
por: Chen, Zhe, et al.
Publicado: (2023)

GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention
por: Yan, Junchi, et al.
Publicado: (2024)

VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention
por: Zhou, Jingbo, et al.
Publicado: (2026)

SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer
por: Fang, Jiayu, et al.
Publicado: (2025)

PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
por: Sun, Tian, et al.
Publicado: (2025)

Utility-Aware Data Pricing: Token-Level Quality and Empirical Training Gain for LLMs
por: Xu, Minghui, et al.
Publicado: (2026)

ZeroS: Zero-Sum Linear Attention for Efficient Transformers
por: Lu, Jiecheng, et al.
Publicado: (2026)

Hybrid Focal and Full-Range Attention Based Graph Transformers
por: Zhu, Minhong, et al.
Publicado: (2023)

Precipitation Nowcasting Using Diffusion Transformer with Causal Attention
por: Li, ChaoRong, et al.
Publicado: (2024)

Attention Sinks and Outliers in Attention Residuals
por: Luo, Haozheng, et al.
Publicado: (2026)

Uncovering Graph Reasoning in Decoder-only Transformers with Circuit Tracing
por: Dai, Xinnan, et al.
Publicado: (2025)

Physics-Guided Tiny-Mamba Transformer for Reliability-Aware Early Fault Warning
por: Li, Changyu, et al.
Publicado: (2026)

Distance-Misaligned Training in Graph Transformers and Adaptive Graph-Aware Control
por: Hou, Qinhan, et al.
Publicado: (2026)

Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
por: Luo, Jiayi, et al.
Publicado: (2025)

Physics-Guided Transformer (PGT): Physics-Aware Attention Mechanism for PINNs
por: Zeraatkar, Ehsan, et al.
Publicado: (2026)

k-Maximum Inner Product Attention for Graph Transformers and the Expressive Power of GraphGPS
por: De Schouwer, Jonas, et al.
Publicado: (2026)

Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling
por: Xing, Jinming, et al.
Publicado: (2024)

Fairness in Graph Learning Augmented with Machine Learning: A Survey
por: Luo, Renqiang, et al.
Publicado: (2025)

GTHNA: Local-global Graph Transformer with Memory Reconstruction for Holistic Node Anomaly Evaluation
por: Li, Mingkang, et al.
Publicado: (2025)

Cluster Attention for Graph Machine Learning
por: Platonov, Oleg, et al.
Publicado: (2026)