Cover Image

Semantic Refinement with LLMs for Graph Representations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Thapaliya, Safal, Wang, Zehong, Li, Jiazheng, Li, Ziming, Ye, Yanfang, Zhang, Chuxu
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can LLMs Convert Graphs to Text-Attributed Graphs?
by: Wang, Zehong, et al.
Published: (2024)

Graph is a Substrate Across Data Modalities
by: Li, Ziming, et al.
Published: (2026)

Training MLPs on Graphs without Supervision
by: Wang, Zehong, et al.
Published: (2024)

Subgraph Pooling: Tackling Negative Transfer on Graphs
by: Wang, Zehong, et al.
Published: (2024)

Where LLM Annotators Fail: Label-Free Learning on Graphs with LLMs
by: Thapaliya, Safal, et al.
Published: (2026)

SimMLP: Training MLPs on Graphs without Supervision
by: Wang, Zehong, et al.
Published: (2024)

Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance
by: Zhao, Jiachi, et al.
Published: (2025)

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
by: Li, Yiyang, et al.
Published: (2025)

VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks
by: Dhakal, Manish, et al.
Published: (2024)

NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
by: Zhang, Zheyuan, et al.
Published: (2024)

BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs
by: Ma, Tianyi, et al.
Published: (2026)

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions
by: Fu, Xingbo, et al.
Published: (2025)

Generative Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)

LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
by: Ma, Tianyi, et al.
Published: (2025)

OPBench: A Graph Benchmark to Combat the Opioid Crisis
by: Ma, Tianyi, et al.
Published: (2026)

GFT: Graph Foundation Model with Transferable Tree Vocabulary
by: Wang, Zehong, et al.
Published: (2024)

MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
by: Li, Jiazheng, et al.
Published: (2025)

Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models
by: Poudel, Kanchan, et al.
Published: (2023)

Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
by: Wang, Zehong, et al.
Published: (2024)

Beyond Message Passing: Neural Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)

Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents
by: Wang, Zehong, et al.
Published: (2026)

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
by: Wang, Qibin, et al.
Published: (2025)

Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges
by: Shrestha, Safal, et al.
Published: (2025)

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

On the Safety of Graph Representation Learning
by: Guo, Xiaoguang, et al.
Published: (2026)

Probing to Refine: Reinforcement Distillation of LLMs via Explanatory Inversion
by: Tan, Zhen, et al.
Published: (2026)

Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning
by: Kim, Minwu, et al.
Published: (2026)

Data Mixing Can Induce Phase Transitions in Knowledge Acquisition
by: Gu, Xinran, et al.
Published: (2025)

Evolutionary Guided Decoding: Iterative Value Refinement for LLMs
by: Liu, Zhenhua, et al.
Published: (2025)

Temporal Graph Pattern Machine
by: Ma, Yijun, et al.
Published: (2026)

Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
by: Li, Zhuochun, et al.
Published: (2026)

GraphDancer: Training LLMs to Explore and Reason over Graphs via Two-Stage Curriculum Post-Training
by: Bai, Yuyang, et al.
Published: (2026)

Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization
by: Zhang, Zheyuan, et al.
Published: (2026)

Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMs
by: Sheshanarayana, Disha, et al.
Published: (2026)

From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs
by: Rezazadeh, Alireza, et al.
Published: (2024)

Shared Lexical Task Representations Explain Behavioral Variability In LLMs
by: Yang, Zhuonan, et al.
Published: (2026)

Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners
by: Peng, Miao, et al.
Published: (2025)

Analyzing the Role of Semantic Representations in the Era of Large Language Models
by: Jin, Zhijing, et al.
Published: (2024)

Static Word Embeddings for Sentence Semantic Representation
by: Wada, Takashi, et al.
Published: (2025)

Reinforcement Learning Enhanced LLMs: A Survey
by: Wang, Shuhe, et al.
Published: (2024)