:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ning, An, Li, Tai Yue, Chen, Nan Yow
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2508.17630
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantum Pointwise Convolution: A Flexible and Scalable Approach for Neural Network Enhancement
by: Ning, An, et al.
Published: (2024)

Quantum Adaptive Excitation Network with Variational Quantum Circuits for Channel Attention
by: Hsu, Yu-Chao, et al.
Published: (2025)

Quantum Graph Attention Networks: Trainable Quantum Encoders for Inductive Graph Learning
by: Faria, Arthur M., et al.
Published: (2025)

Multi-view Fuzzy Graph Attention Networks for Enhanced Graph Learning
by: Xing, Jinming, et al.
Published: (2024)

Multi-Head Low-Rank Attention
by: Liu, Songtao, et al.
Published: (2026)

Beyond Parallelism: Synergistic Computational Graph Effects in Multi-Head Attention
by: Borde, Haitz Sáez de Ocáriz
Published: (2025)

TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis
by: Sasal, Lena, et al.
Published: (2024)

Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting
by: Hsu, Yu-Chao, et al.
Published: (2024)

Quantum Phase Recognition via Quantum Attention Mechanism
by: Chen, Jin-Long, et al.
Published: (2026)

GAIS: A Novel Approach to Instance Selection with Graph Attention Networks
by: Rustamov, Zahiriddin, et al.
Published: (2024)

Deep Graph Attention Networks
by: Kato, Jun, et al.
Published: (2024)

Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
by: Garnier, Paul, et al.
Published: (2024)

MEGAN: Multi-Explanation Graph Attention Network
by: Teufel, Jonas, et al.
Published: (2022)

Vehicle Routing Problems via Quantum Graph Attention Network Deep Reinforcement Learning
by: Giang, Le Tung, et al.
Published: (2025)

MoH: Multi-Head Attention as Mixture-of-Head Attention
by: Jin, Peng, et al.
Published: (2024)

Perturbation Ontology based Graph Attention Networks
by: Wang, Yichen, et al.
Published: (2024)

Flow-Attentional Graph Neural Networks
by: Plettenberg, Pascal, et al.
Published: (2025)

Hyperbolic Heterogeneous Graph Attention Networks
by: Park, Jongmin, et al.
Published: (2024)

Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models
by: Ma, Zhongtian, et al.
Published: (2024)

Quantum Mixed-State Self-Attention Network
by: Chen, Fu, et al.
Published: (2024)

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
by: Hoang-Minh, Thanh
Published: (2025)

The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms
by: Otsuka, Hikari, et al.
Published: (2025)

Mechanism and Emergence of Stacked Attention Heads in Multi-Layer Transformers
by: Musat, Tiberiu
Published: (2024)

Superiority of Multi-Head Attention in In-Context Linear Regression
by: Cui, Yingqian, et al.
Published: (2024)

Adaptive Head Budgeting for Efficient Multi-Head Attention
by: Faye, Bilal, et al.
Published: (2026)

Equipping Federated Graph Neural Networks with Structure-aware Group Fairness
by: Cui, Nan, et al.
Published: (2023)

Graph Attention Inference of Network Topology in Multi-Agent Systems
by: Kolli, Akshay, et al.
Published: (2024)

Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network
by: Park, Jongmin, et al.
Published: (2024)

Hierarchical Attention Models for Multi-Relational Graphs
by: Iyer, Roshni G., et al.
Published: (2024)

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks
by: Xie, HongXin, et al.
Published: (2025)

High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach
by: Li, Shelei, et al.
Published: (2024)

GRAF: Graph Attention-aware Fusion Networks
by: Kesimoglu, Ziynet Nesibe, et al.
Published: (2023)

Neighbor Overlay-Induced Graph Attention Network
by: Wei, Tiqiao, et al.
Published: (2024)

Gated Graph Attention Networks with Learnable Temperature
by: Ma, Zhongtian, et al.
Published: (2026)

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning
by: E, Jiawei, et al.
Published: (2024)

Graph Triple Attention Network: A Decoupled Perspective
by: Wang, Xiaotang, et al.
Published: (2024)

Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations
by: Neves, Christopher, et al.
Published: (2024)

Spiking Heterogeneous Graph Attention Networks
by: Cao, Buqing, et al.
Published: (2025)

Heterophily-Aware Graph Attention Network
by: Wang, Junfu, et al.
Published: (2023)

CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph
by: He, Silu, et al.
Published: (2023)