Image de couverture de livre

DGTN: Graph-Enhanced Transformer with Diffusive Attention Gating Mechanism for Enzyme DDG Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Lin, Abigail
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Forgetting Transformer: Softmax Attention with a Forget Gate
par: Lin, Zhixuan, et autres
Publié: (2025)

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer
par: Wu, Lirong, et autres
Publié: (2025)

Cardinality-Preserving Attention Channels for Graph Transformers in Molecular Property Prediction
par: Gupta, Abhijit
Publié: (2026)

Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction
par: You, Junwei, et autres
Publié: (2024)

Drug Synergy Prediction via Residual Graph Isomorphism Networks and Attention Mechanisms
par: Song, Jiyan, et autres
Publié: (2026)

Value-State Gated Attention for Mitigating Extreme-Token Phenomena in Transformers
par: Bu, Rui, et autres
Publié: (2025)

Towards Mechanistic Interpretability of Graph Transformers via Attention Graphs
par: El, Batu, et autres
Publié: (2025)

Graph Convolutions Enrich the Self-Attention in Transformers!
par: Choi, Jeongwhan, et autres
Publié: (2023)

Revealing the Attention Floating Mechanism in Masked Diffusion Models
par: Dai, Xin, et autres
Publié: (2026)

NoiseFormer -- Noise Diffused Symmetric Attention Transformer
par: Kumar, Phani, et autres
Publié: (2026)

Supercharging Graph Transformers with Advective Diffusion
par: Wu, Qitian, et autres
Publié: (2023)

BiTA: Bidirectional Gated Recurrent Unit-Transformer Aggregator in a Temporal Graph Network Framework for Alert Prediction in Computer Networks
par: Nayeri, Zahra Makki, et autres
Publié: (2026)

A Neural Network Architecture Based on Attention Gate Mechanism for 3D Magnetotelluric Forward Modeling
par: Zhong, Xin, et autres
Publié: (2025)

Enhanced Graph Transformer with Serialized Graph Tokens
par: Wang, Ruixiang, et autres
Publié: (2026)

YZS-model: A Predictive Model for Organic Drug Solubility Based on Graph Convolutional Networks and Transformer-Attention
par: Wang, Chenxu, et autres
Publié: (2024)

VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention
par: Zhou, Jingbo, et autres
Publié: (2026)

Graph Diffusion Transformers are In-Context Molecular Designers
par: Liu, Gang, et autres
Publié: (2025)

JanusDDG: A Thermodynamics-Compliant Model for Sequence-Based Protein Stability via Two-Fronts Multi-Head Attention
par: Barducci, Guido, et autres
Publié: (2025)

Hybrid Focal and Full-Range Attention Based Graph Transformers
par: Zhu, Minhong, et autres
Publié: (2023)

Neighbourhood Transformer: Switchable Attention for Monophily-Aware Graph Learning
par: Luo, Yi, et autres
Publié: (2026)

Twin Transformer using Gated Dynamic Learnable Attention mechanism for Fault Detection and Diagnosis in the Tennessee Eastman Process
par: Labbaf-Khaniki, Mohammad Ali, et autres
Publié: (2024)

k-Maximum Inner Product Attention for Graph Transformers and the Expressive Power of GraphGPS
par: De Schouwer, Jonas, et autres
Publié: (2026)

Continuous-Time Attention: PDE-Guided Mechanisms for Long-Sequence Transformers
par: Zhang, Yukun, et autres
Publié: (2025)

Physics-Guided Transformer (PGT): Physics-Aware Attention Mechanism for PINNs
par: Zeraatkar, Ehsan, et autres
Publié: (2026)

RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction
par: Ding, Zhihao, et autres
Publié: (2024)

Graph Attention-based Adaptive Transfer Learning for Link Prediction
par: Lu, Huashen, et autres
Publié: (2025)

Scaling Graph Transformers: A Comparative Study of Sparse and Dense Attention
par: Dimitrov, Leon
Publié: (2025)

Exploring the Global-to-Local Attention Scheme in Graph Transformers: An Empirical Study
par: Wu, Gang, et autres
Publié: (2025)

Graph Diffusion Network for Drug-Gene Prediction
par: Wu, Jiayang, et autres
Publié: (2025)

Spacetime $E(n)$-Transformer: Equivariant Attention for Spatio-temporal Graphs
par: Charles, Sergio G.
Publié: (2024)

Attention Dispersion in Dynamic Graph Transformers: Diagnosis and a Transferable Fix
par: Zhang, Jinhao, et autres
Publié: (2026)

Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation
par: Kim, Jun Hyeong, et autres
Publié: (2024)

Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling
par: Xing, Jinming, et autres
Publié: (2024)

Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting
par: Lu, Jiecheng, et autres
Publié: (2025)

VSFormer: Value and Shape-Aware Transformer with Prior-Enhanced Self-Attention for Multivariate Time Series Classification
par: Xi, Wenjie, et autres
Publié: (2024)

Triple Attention Transformer Architecture for Time-Dependent Concrete Creep Prediction
par: Dokduea, Warayut, et autres
Publié: (2025)

TGFormer: Towards Temporal Graph Transformer with Auto-Correlation Mechanism
par: Chen, Hongjiang, et autres
Publié: (2026)

GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
par: Jiang, Pengcheng, et autres
Publié: (2023)

Cellular Traffic Prediction via Deep State Space Models with Attention Mechanism
par: Ma, Hui, et autres
Publié: (2025)

Wavelet-Enhanced Neural ODE and Graph Attention for Interpretable Energy Forecasting
par: Joy, Usman Gani
Publié: (2025)