Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Hu, Wenbin, Jing, Huihao, Hu, Qi, Li, Haoran, Song, Yangqiu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Safety Compliance: Rethinking LLM Safety Reasoning through the Lens of Compliance
por: Hu, Wenbin, et al.
Publicado: (2025)
por: Hu, Wenbin, et al.
Publicado: (2025)
MASLegalBench: Benchmarking Multi-Agent Systems in Deductive Legal Reasoning
por: Jing, Huihao, et al.
Publicado: (2025)
por: Jing, Huihao, et al.
Publicado: (2025)
Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning
por: Hu, Jingyu, et al.
Publicado: (2025)
por: Hu, Jingyu, et al.
Publicado: (2025)
Prompt-SAW: Leveraging Relation-Aware Graphs for Textual Prompt Compression
por: Ali, Muhammad Asif, et al.
Publicado: (2024)
por: Ali, Muhammad Asif, et al.
Publicado: (2024)
KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs
por: Zhou, Zelin, et al.
Publicado: (2025)
por: Zhou, Zelin, et al.
Publicado: (2025)
Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection
por: Wang, Shouju, et al.
Publicado: (2025)
por: Wang, Shouju, et al.
Publicado: (2025)
Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment
por: Xie, Huanyi, et al.
Publicado: (2025)
por: Xie, Huanyi, et al.
Publicado: (2025)
CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning
por: Cheng, Yinghan, et al.
Publicado: (2024)
por: Cheng, Yinghan, et al.
Publicado: (2024)
KSOD: Knowledge Supplement for LLMs On Demand
por: Li, Haoran, et al.
Publicado: (2025)
por: Li, Haoran, et al.
Publicado: (2025)
IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual Texts
por: Basak, Udvas, et al.
Publicado: (2024)
por: Basak, Udvas, et al.
Publicado: (2024)
Label-free Node Classification on Graphs with Large Language Models (LLMS)
por: Chen, Zhikai, et al.
Publicado: (2023)
por: Chen, Zhikai, et al.
Publicado: (2023)
REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization
por: Zhang, Peiyan, et al.
Publicado: (2024)
por: Zhang, Peiyan, et al.
Publicado: (2024)
Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation
por: Chen, Ge, et al.
Publicado: (2024)
por: Chen, Ge, et al.
Publicado: (2024)
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification
por: Liang, Qiuyu, et al.
Publicado: (2024)
por: Liang, Qiuyu, et al.
Publicado: (2024)
GMLM: Bridging Graph Neural Networks and Language Models for Heterophilic Node Classification
por: Sinha, Aarush
Publicado: (2025)
por: Sinha, Aarush
Publicado: (2025)
In-context Autoencoder for Context Compression in a Large Language Model
por: Ge, Tao, et al.
Publicado: (2023)
por: Ge, Tao, et al.
Publicado: (2023)
A Unified Benchmark for Evaluating Knowledge Graph Construction Methods and Graph Neural Networks
por: Kabal, Othmane, et al.
Publicado: (2026)
por: Kabal, Othmane, et al.
Publicado: (2026)
Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders
por: Jing, Yi, et al.
Publicado: (2026)
por: Jing, Yi, et al.
Publicado: (2026)
Graph Neural Prompting with Large Language Models
por: Tian, Yijun, et al.
Publicado: (2023)
por: Tian, Yijun, et al.
Publicado: (2023)
Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs
por: Hu, Qi, et al.
Publicado: (2024)
por: Hu, Qi, et al.
Publicado: (2024)
Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs
por: Du, Junliang, et al.
Publicado: (2024)
por: Du, Junliang, et al.
Publicado: (2024)
Injecting Structured Biomedical Knowledge into Language Models: Continual Pretraining vs. GraphRAG
por: Klila, Jaafer, et al.
Publicado: (2026)
por: Klila, Jaafer, et al.
Publicado: (2026)
Progressive Knowledge Graph Completion
por: Li, Jiayi, et al.
Publicado: (2024)
por: Li, Jiayi, et al.
Publicado: (2024)
GUNDAM: Aligning Large Language Models with Graph Understanding
por: Ouyang, Sheng, et al.
Publicado: (2024)
por: Ouyang, Sheng, et al.
Publicado: (2024)
COTET: Cross-view Optimal Transport for Knowledge Graph Entity Typing
por: Hu, Zhiwei, et al.
Publicado: (2024)
por: Hu, Zhiwei, et al.
Publicado: (2024)
Each Graph is a New Language: Graph Learning with LLMs
por: Zhou, Huachi, et al.
Publicado: (2025)
por: Zhou, Huachi, et al.
Publicado: (2025)
OmniCompliance-100K: A Multi-Domain, Rule-Grounded, Real-World Safety Compliance Dataset
por: Hu, Wenbin, et al.
Publicado: (2026)
por: Hu, Wenbin, et al.
Publicado: (2026)
Meta Operator for Complex Query Answering on Knowledge Graphs
por: Yin, Hang, et al.
Publicado: (2024)
por: Yin, Hang, et al.
Publicado: (2024)
Exploring Gradient-Guided Masked Language Model to Detect Textual Adversarial Attacks
por: Zhang, Xiaomei, et al.
Publicado: (2025)
por: Zhang, Xiaomei, et al.
Publicado: (2025)
Does higher interpretability imply better utility? A Pairwise Analysis on Sparse Autoencoders
por: Wang, Xu, et al.
Publicado: (2025)
por: Wang, Xu, et al.
Publicado: (2025)
Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
por: Qiao, Qiao, et al.
Publicado: (2023)
por: Qiao, Qiao, et al.
Publicado: (2023)
Power Transformer Fault Prediction Based on Knowledge Graphs
por: Wang, Chao, et al.
Publicado: (2024)
por: Wang, Chao, et al.
Publicado: (2024)
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection
por: Tao, Xiang, et al.
Publicado: (2024)
por: Tao, Xiang, et al.
Publicado: (2024)
S$^2$DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
por: Ma, Tengfei, et al.
Publicado: (2024)
por: Ma, Tengfei, et al.
Publicado: (2024)
MCIP: Protecting MCP Safety via Model Contextual Integrity Protocol
por: Jing, Huihao, et al.
Publicado: (2025)
por: Jing, Huihao, et al.
Publicado: (2025)
GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model
por: Yang, Haotong, et al.
Publicado: (2024)
por: Yang, Haotong, et al.
Publicado: (2024)
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
por: Ma, Ying, et al.
Publicado: (2024)
por: Ma, Ying, et al.
Publicado: (2024)
A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models
por: Lin, Qika, et al.
Publicado: (2025)
por: Lin, Qika, et al.
Publicado: (2025)
Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning
por: Ding, Zifeng, et al.
Publicado: (2025)
por: Ding, Zifeng, et al.
Publicado: (2025)
Language-Guided Tuning: Enhancing Numeric Optimization with Textual Feedback
por: Lu, Yuxing, et al.
Publicado: (2025)
por: Lu, Yuxing, et al.
Publicado: (2025)
Ejemplares similares
-
Safety Compliance: Rethinking LLM Safety Reasoning through the Lens of Compliance
por: Hu, Wenbin, et al.
Publicado: (2025) -
MASLegalBench: Benchmarking Multi-Agent Systems in Deductive Legal Reasoning
por: Jing, Huihao, et al.
Publicado: (2025) -
Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning
por: Hu, Jingyu, et al.
Publicado: (2025) -
Prompt-SAW: Leveraging Relation-Aware Graphs for Textual Prompt Compression
por: Ali, Muhammad Asif, et al.
Publicado: (2024) -
KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs
por: Zhou, Zelin, et al.
Publicado: (2025)