TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Zheng, Hu, Yuntong, Pan, Bo, Ling, Chen, Zhao, Liang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Distilling Large Language Models for Text-Attributed Graph Learning
by: Pan, Bo, et al.
Published: (2024)
by: Pan, Bo, et al.
Published: (2024)
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
by: Zhang, Jiasheng, et al.
Published: (2024)
by: Zhang, Jiasheng, et al.
Published: (2024)
Can LLMs Convert Graphs to Text-Attributed Graphs?
by: Wang, Zehong, et al.
Published: (2024)
by: Wang, Zehong, et al.
Published: (2024)
Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment
by: Xie, Huanyi, et al.
Published: (2025)
by: Xie, Huanyi, et al.
Published: (2025)
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
by: Zhu, Yun, et al.
Published: (2024)
by: Zhu, Yun, et al.
Published: (2024)
Robustness of Graph Self-Supervised Learning to Real-World Noise: A Case Study on Text-Driven Biomedical Graphs
by: Kabal, Othmane, et al.
Published: (2026)
by: Kabal, Othmane, et al.
Published: (2026)
LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning
by: Xu, Haoyan, et al.
Published: (2025)
by: Xu, Haoyan, et al.
Published: (2025)
Enhancing Graph Self-Supervised Learning with Graph Interplay
by: Zhao, Xinjian, et al.
Published: (2024)
by: Zhao, Xinjian, et al.
Published: (2024)
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering
by: Zhu, Pengfei, et al.
Published: (2024)
by: Zhu, Pengfei, et al.
Published: (2024)
LARGER: Lexically Anchored Repository Graph Exploration and Retrieval
by: Hu, Yuntong, et al.
Published: (2026)
by: Hu, Yuntong, et al.
Published: (2026)
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
by: Sun, Shengyin, et al.
Published: (2023)
by: Sun, Shengyin, et al.
Published: (2023)
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models
by: Fang, Yi, et al.
Published: (2024)
by: Fang, Yi, et al.
Published: (2024)
SaVe-TAG: LLM-based Interpolation for Long-Tailed Text-Attributed Graphs
by: Wang, Leyao, et al.
Published: (2024)
by: Wang, Leyao, et al.
Published: (2024)
GRAG: Graph Retrieval-Augmented Generation
by: Hu, Yuntong, et al.
Published: (2024)
by: Hu, Yuntong, et al.
Published: (2024)
Scalable Graph Self-Supervised Learning
by: Pasand, Ali Saheb, et al.
Published: (2024)
by: Pasand, Ali Saheb, et al.
Published: (2024)
GraphiT: Efficient Node Classification on Text-Attributed Graphs with Prompt Optimized LLMs
by: Khoshraftar, Shima, et al.
Published: (2025)
by: Khoshraftar, Shima, et al.
Published: (2025)
Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs
by: Lei, Runlin, et al.
Published: (2025)
by: Lei, Runlin, et al.
Published: (2025)
HiTeC: Hierarchical Contrastive Learning on Text-Attributed Hypergraph with Semantic-Aware Augmentation
by: Pan, Mengting, et al.
Published: (2025)
by: Pan, Mengting, et al.
Published: (2025)
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
by: Zhao, Huanjing, et al.
Published: (2024)
by: Zhao, Huanjing, et al.
Published: (2024)
Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs
by: Zhang, Taiyan, et al.
Published: (2024)
by: Zhang, Taiyan, et al.
Published: (2024)
Quantizing Text-attributed Graphs for Semantic-Structural Integration
by: Bo, Jianyuan, et al.
Published: (2025)
by: Bo, Jianyuan, et al.
Published: (2025)
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
by: Li, Zihao, et al.
Published: (2024)
by: Li, Zihao, et al.
Published: (2024)
GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning
by: Song, Yu, et al.
Published: (2025)
by: Song, Yu, et al.
Published: (2025)
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
by: Wang, Zheng, et al.
Published: (2023)
by: Wang, Zheng, et al.
Published: (2023)
Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning
by: Jian, Xiangru, et al.
Published: (2024)
by: Jian, Xiangru, et al.
Published: (2024)
Data-Driven Self-Supervised Graph Representation Learning
by: Samy, Ahmed E., et al.
Published: (2024)
by: Samy, Ahmed E., et al.
Published: (2024)
On the Benefits of Attribute-Driven Graph Domain Adaptation
by: Fang, Ruiyi, et al.
Published: (2025)
by: Fang, Ruiyi, et al.
Published: (2025)
PyG-SSL: A Graph Self-Supervised Learning Toolkit
by: Zheng, Lecheng, et al.
Published: (2024)
by: Zheng, Lecheng, et al.
Published: (2024)
Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications
by: Su, Guangxin, et al.
Published: (2025)
by: Su, Guangxin, et al.
Published: (2025)
Dual-perspective Cross Contrastive Learning in Graph Transformers
by: Yao, Zelin, et al.
Published: (2024)
by: Yao, Zelin, et al.
Published: (2024)
Material Property Prediction with Element Attribute Knowledge Graphs and Multimodal Representation Learning
by: Huang, Chao, et al.
Published: (2024)
by: Huang, Chao, et al.
Published: (2024)
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
by: Li, Mufei, et al.
Published: (2023)
by: Li, Mufei, et al.
Published: (2023)
Multimodal Representation Learning Conditioned on Semantic Relations
by: Qiao, Yang, et al.
Published: (2025)
by: Qiao, Yang, et al.
Published: (2025)
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
by: Chen, Qin, et al.
Published: (2025)
by: Chen, Qin, et al.
Published: (2025)
Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning
by: Wang, Ling, et al.
Published: (2024)
by: Wang, Ling, et al.
Published: (2024)
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
by: Ma, Qian, et al.
Published: (2024)
by: Ma, Qian, et al.
Published: (2024)
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
by: Wijesinghe, Asiri, et al.
Published: (2025)
by: Wijesinghe, Asiri, et al.
Published: (2025)
Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning
by: Liu, Yuti, et al.
Published: (2024)
by: Liu, Yuti, et al.
Published: (2024)
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
by: Lei, Runlin, et al.
Published: (2024)
by: Lei, Runlin, et al.
Published: (2024)
Large Language Models Meet Graph Neural Networks for Text-Numeric Graph Reasoning
by: Song, Haoran, et al.
Published: (2025)
by: Song, Haoran, et al.
Published: (2025)
Similar Items
-
Distilling Large Language Models for Text-Attributed Graph Learning
by: Pan, Bo, et al.
Published: (2024) -
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
by: Zhang, Jiasheng, et al.
Published: (2024) -
Can LLMs Convert Graphs to Text-Attributed Graphs?
by: Wang, Zehong, et al.
Published: (2024) -
Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment
by: Xie, Huanyi, et al.
Published: (2025) -
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
by: Zhu, Yun, et al.
Published: (2024)