Imagen de Portada

UniGTE: Unified Graph-Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Duo, Zuo, Yuan, Lu, Guangyue, Wu, Junjie
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Graph-R1: Incentivizing the Zero-Shot Graph Learning Capability in LLMs via Explicit Reasoning
por: Wu, Yicong, et al.
Publicado: (2025)

LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
por: Wang, Duo, et al.
Publicado: (2024)

UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs
por: He, Yufei, et al.
Publicado: (2024)

RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation
por: Wu, Renzhi, et al.
Publicado: (2025)

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding
por: Liang, Chundong, et al.
Publicado: (2026)

UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs
por: He, Yufei, et al.
Publicado: (2025)

UniGAD: Unifying Multi-level Graph Anomaly Detection
por: Lin, Yiqing, et al.
Publicado: (2024)

Jensen-Shannon Divergence Message-Passing for Rich-Text Graph Representation Learning
por: Wang, Zuo, et al.
Publicado: (2025)

A Unified Graph Language Model for Multi-Domain Multi-Task Graph Alignment Instruction Tuning
por: Chen, Haibo, et al.
Publicado: (2026)

Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs
por: Parameswaran, Sethupathy, et al.
Publicado: (2026)

Knowledge Graph-Based Explainable and Generalized Zero-Shot Semantic Communications
por: Zhang, Zhaoyu, et al.
Publicado: (2025)

OWLEYE: Zero-Shot Learner for Cross-Domain Graph Data Anomaly Detection
por: Zheng, Lecheng, et al.
Publicado: (2026)

Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
por: Zhao, Yusheng, et al.
Publicado: (2025)

GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model
por: Xu, Haoyan, et al.
Publicado: (2025)

Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games
por: Lu, Runyu, et al.
Publicado: (2025)

UniGLM: Training One Unified Language Model for Text-Attributed Graph Embedding
por: Fang, Yi, et al.
Publicado: (2024)

From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection
por: Liu, Yixin, et al.
Publicado: (2026)

Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
por: Liu, Fei, et al.
Publicado: (2024)

Zero-Shot Relational Learning for Multimodal Knowledge Graphs
por: Cai, Rui, et al.
Publicado: (2024)

Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion Model
por: Xiang, Yuran, et al.
Publicado: (2024)

GraphThought: Graph Combinatorial Optimization with Thought Generation
por: Huang, Zixiao, et al.
Publicado: (2025)

Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models
por: Li, Fengzhi, et al.
Publicado: (2026)

PRISM-0: A Predicate-Rich Scene Graph Generation Framework for Zero-Shot Open-Vocabulary Tasks
por: Elskhawy, Abdelrahman, et al.
Publicado: (2025)

Graph Augmentation for Cross Graph Domain Generalization
por: Chen, Guanzi, et al.
Publicado: (2025)

Image-Caption Encoding for Improving Zero-Shot Generalization
por: Yu, Eric Yang, et al.
Publicado: (2024)

UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs
por: Xu, Yuanyuan, et al.
Publicado: (2025)

Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs
por: Yu, Xingtong, et al.
Publicado: (2023)

Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning
por: Xu, Yiming, et al.
Publicado: (2025)

UniZero: Generalized and Efficient Planning with Scalable Latent World Models
por: Pu, Yuan, et al.
Publicado: (2024)

Few-Shot Inspired Generative Zero-Shot Learning
por: Shohag, Md Shakil Ahamed, et al.
Publicado: (2025)

Generating Directed Graphs with Dual Attention and Asymmetric Encoding
por: Carballo-Castro, Alba, et al.
Publicado: (2025)

Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
por: Zhou, Cai, et al.
Publicado: (2024)

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
por: Liu, Xu, et al.
Publicado: (2023)

UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks
por: Wang, Xiaotang, et al.
Publicado: (2024)

URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization
por: Zhou, Changliang, et al.
Publicado: (2025)

Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation
por: Tenorio, Victor M., et al.
Publicado: (2025)

Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
por: Yu, Jianxiang, et al.
Publicado: (2023)

On the Stability of Expressive Positional Encodings for Graphs
por: Huang, Yinan, et al.
Publicado: (2023)

Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
por: Niu, Chaoxi, et al.
Publicado: (2024)

UniOD: A Universal Model for Outlier Detection across Diverse Domains
por: Fu, Dazhi, et al.
Publicado: (2025)