Cover Image

Graph Attention-based Adaptive Transfer Learning for Link Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lu, Huashen, Gan, Wensheng, Chen, Guoting, Huang, Zhichao, Yu, Philip S.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Graph Contrastive Learning on Multi-label Classification for Recommendations
by: Wu, Jiayang, et al.
Published: (2025)

Graph Diffusion Network for Drug-Gene Prediction
by: Wu, Jiayang, et al.
Published: (2025)

GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning
by: Zeng, Fanlong, et al.
Published: (2025)

Graph-Based Fraud Detection with Dual-Path Graph Filtering
by: He, Wei, et al.
Published: (2026)

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift
by: Zeng, Fanlong, et al.
Published: (2025)

Domain-Aware Hierarchical Contrastive Learning for Semi-Supervised Generalization Fault Diagnosis
by: Ren, Junyu, et al.
Published: (2026)

Pure Node Selection for Imbalanced Graph Node Classification
by: Zeng, Fanlong, et al.
Published: (2025)

Mixture of Experts (MoE): A Big Data Perspective
by: Gan, Wensheng, et al.
Published: (2025)

Transfer Learning for Temporal Link Prediction
by: Chatterjee, Ayan, et al.
Published: (2025)

Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction
by: Li, Mingchen, et al.
Published: (2025)

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
by: Qian, Feifei, et al.
Published: (2024)

Conformalized Link Prediction on Graph Neural Networks
by: Zhao, Tianyi, et al.
Published: (2024)

Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction
by: Hu, Pengfei, et al.
Published: (2025)

Inner-Instance Normalization for Time Series Forecasting
by: Jibao, Zipo, et al.
Published: (2025)

CATS-Linear: Classification Auxiliary Linear Model for Time Series Forecasting
by: Jibao, Zipo, et al.
Published: (2025)

Learning Attention-based Representations from Multiple Patterns for Relation Prediction in Knowledge Graphs
by: Lourenço, Vítor, et al.
Published: (2022)

Attention Dispersion in Dynamic Graph Transformers: Diagnosis and a Transferable Fix
by: Zhang, Jinhao, et al.
Published: (2026)

Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning
by: Zhang, Bowen, et al.
Published: (2024)

Rethinking Link Prediction for Directed Graphs
by: He, Mingguo, et al.
Published: (2025)

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

Higher-order Structure Boosts Link Prediction on Temporal Graphs
by: Liu, Jingzhe, et al.
Published: (2025)

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs
by: Li, Guangyan, et al.
Published: (2025)

Multimodal Representation Learning using Adaptive Graph Construction
by: Huang, Weichen
Published: (2024)

Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning
by: Wang, Yingxu, et al.
Published: (2025)

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
by: Wu, Liming, et al.
Published: (2024)

YZS-model: A Predictive Model for Organic Drug Solubility Based on Graph Convolutional Networks and Transformer-Attention
by: Wang, Chenxu, et al.
Published: (2024)

TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
by: Yu, Zhongyi, et al.
Published: (2025)

Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning
by: Peng, Hao, et al.
Published: (2025)

From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
by: Wang, Zheng, et al.
Published: (2023)

CoDCL: Counterfactual-Inspired Augmentation Contrastive Learning for Temporal Link Prediction in Social Networks
by: Feng, Hantong, et al.
Published: (2026)

GraphEdit: Large Language Models for Graph Structure Learning
by: Guo, Zirui, et al.
Published: (2024)

Attention-based Adversarial Robust Distillation in Radio Signal Classifications for Low-Power IoT Devices
by: Zhang, Lu, et al.
Published: (2025)

RiemannGL: Riemannian Geometry Changes Graph Deep Learning
by: Sun, Li, et al.
Published: (2026)

Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction
by: Kim, Minsang, et al.
Published: (2024)

Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction
by: Ma, Tengfei, et al.
Published: (2023)

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

Global-Lens Transformers: Adaptive Token Mixing for Dynamic Link Prediction
by: Zou, Tao, et al.
Published: (2025)

Neighbourhood Transformer: Switchable Attention for Monophily-Aware Graph Learning
by: Luo, Yi, et al.
Published: (2026)

Generalizable Trajectory Prediction via Inverse Reinforcement Learning with Mamba-Graph Architecture
by: Li, Wenyun, et al.
Published: (2025)

Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
by: Verma, Abhishek, et al.
Published: (2025)