Cover Image

Deep Semantic Graph Learning via LLM based Node Enhancement

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shi, Chuanqi, Tao, Yiyi, Zhang, Hang, Wang, Lun, Du, Shaoshuai, Shen, Yixian, Shen, Yanxin
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AltGen: AI-Driven Alt Text Generation for Enhancing EPUB Accessibility
by: Shen, Yixian, et al.
Published: (2024)

Comparative Analysis of Large Language Models for Context-Aware Code Completion using SAFIM Framework
by: Zhang, Hang, et al.
Published: (2025)

Zero-Shot End-to-End Relation Extraction in Chinese: A Comparative Study of Gemini, LLaMA and ChatGPT
by: Du, Shaoshuai, et al.
Published: (2025)

Performance Review on LLM for solving leetcode problems
by: Wang, Lun, et al.
Published: (2025)

Comparative Analysis of Listwise Reranking with Large Language Models in Limited-Resource Language Contexts
by: Shen, Yanxin, et al.
Published: (2024)

Robustness of Large Language Models Against Adversarial Attacks
by: Tao, Yiyi, et al.
Published: (2024)

GraphRouter: A Graph-based Router for LLM Selections
by: Feng, Tao, et al.
Published: (2024)

Semantic Item Graph Enhancement for Multimodal Recommendation
by: Zhang, Xiaoxiong, et al.
Published: (2025)

POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning
by: Cheng, Jiawei, et al.
Published: (2025)

Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptive Residual Module
by: Zhou, Jingbo, et al.
Published: (2023)

H3M-SSMoEs: Hypergraph-based Multimodal Learning with LLM Reasoning and Style-Structured Mixture of Experts
by: Tan, Peilin, et al.
Published: (2025)

TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
by: Liu, Yezi, et al.
Published: (2024)

Graph2TS: Structure-Controlled Time Series Generation via Quantile-Graph VAEs
by: Du, Shaoshuai, et al.
Published: (2026)

VisiFold: Long-Term Traffic Forecasting via Temporal Folding Graph and Node Visibility
by: Zhang, Zhiwei, et al.
Published: (2026)

Towards Better Generalization via Distributional Input Projection Network
by: Hao, Yifan, et al.
Published: (2025)

BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes
by: Wang, Qian, et al.
Published: (2024)

NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
by: Xu, Tianyang, et al.
Published: (2025)

Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs
by: Lin, Xinyu, et al.
Published: (2024)

Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
by: Wang, Yuxiang, et al.
Published: (2025)

Gradient Weight-normalized Low-rank Projection for Efficient LLM Training
by: Huang, Jia-Hong, et al.
Published: (2024)

MMKG-RDS: Reasoning Data Synthesis via Deep Mining of Multimodal Knowledge Graphs
by: Zhan, Lun, et al.
Published: (2026)

MaGNet: A Mamba Dual-Hypergraph Network for Stock Prediction via Temporal-Causal and Global Relational Learning
by: Tan, Peilin, et al.
Published: (2025)

OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
by: Li, Qinglun, et al.
Published: (2024)

LLM-Enhanced Rumor Detection via Virtual Node Induced Edge Prediction
by: Tao, Jiran, et al.
Published: (2026)

HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications
by: Zhao, Ziming, et al.
Published: (2024)

A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability
by: Wang, Pengyun, et al.
Published: (2024)

From Entity-Centric to Goal-Oriented Graphs: Enhancing LLM Knowledge Retrieval in Minecraft
by: Leung, Jonathan, et al.
Published: (2025)

Exposing the Copycat Problem of Imitation-based Planner: A Novel Closed-Loop Simulator, Causal Benchmark and Joint IL-RL Baseline
by: Zhou, Hui, et al.
Published: (2025)

BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving
by: Xin, Ran, et al.
Published: (2025)

M3HG: Multimodal, Multi-scale, and Multi-type Node Heterogeneous Graph for Emotion Cause Triplet Extraction in Conversations
by: Liang, Qiao, et al.
Published: (2025)

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

NeuroAda: Activating Each Neuron's Potential for Parameter-Efficient Fine-Tuning
by: Zhang, Zhi, et al.
Published: (2025)

7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement
by: Zhao, Pu, et al.
Published: (2024)

Learning to Detect Critical Nodes in Sparse Graphs via Feature Importance Awareness
by: Tan, Xuwei, et al.
Published: (2021)

RoleRAG: Enhancing LLM Role-Playing via Graph Guided Retrieval
by: Wang, Yongjie, et al.
Published: (2025)

SPEGC: Continual Test-Time Adaptation via Semantic-Prompt-Enhanced Graph Clustering for Medical Image Segmentation
by: Du, Xiaogang, et al.
Published: (2026)

Modality as Heterogeneity: Node Splitting and Graph Rewiring for Multimodal Graph Learning
by: Zhang, Yihan, et al.
Published: (2026)

Federated Graph Semantic and Structural Learning
by: Huang, Wenke, et al.
Published: (2024)

Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias
by: Shi, Zhihao, et al.
Published: (2023)

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA
by: Shen, Xiangqing, et al.
Published: (2025)