Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Seo, Hyunjin, Kim, Taewon, Yang, June Yong, Yang, Eunho |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
REBIND: Enhancing ground-state molecular conformation via force-based graph rewiring
by: Kim, Taewon, et al.
Published: (2024)
by: Kim, Taewon, et al.
Published: (2024)
AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler
by: Kim, Changhun, et al.
Published: (2024)
by: Kim, Changhun, et al.
Published: (2024)
TEDDY: Trimming Edges with Degree-based Discrimination strategY
by: Seo, Hyunjin, et al.
Published: (2024)
by: Seo, Hyunjin, et al.
Published: (2024)
Learning Flexible Forward Trajectories for Masked Molecular Diffusion
by: Seo, Hyunjin, et al.
Published: (2025)
by: Seo, Hyunjin, et al.
Published: (2025)
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
by: Lee, Jung Hyun, et al.
Published: (2024)
by: Lee, Jung Hyun, et al.
Published: (2024)
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
by: Lee, Jung Hyun, et al.
Published: (2024)
by: Lee, Jung Hyun, et al.
Published: (2024)
LFQ: Logit-aware Final-block Quantization for Boosting the Generation Quality of Low-Bit Quantized LLMs
by: Lee, Jung Hyun, et al.
Published: (2026)
by: Lee, Jung Hyun, et al.
Published: (2026)
Integrating Multimodal Large Language Model Knowledge into Amodal Completion
by: Yun, Heecheol, et al.
Published: (2026)
by: Yun, Heecheol, et al.
Published: (2026)
A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning
by: Jang, Hyosoon, et al.
Published: (2026)
by: Jang, Hyosoon, et al.
Published: (2026)
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
by: Zhang, Siwei, et al.
Published: (2025)
by: Zhang, Siwei, et al.
Published: (2025)
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning
by: Kim, Gyeongman, et al.
Published: (2024)
by: Kim, Gyeongman, et al.
Published: (2024)
Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing
by: Kim, Yoonjeon, et al.
Published: (2024)
by: Kim, Yoonjeon, et al.
Published: (2024)
Atom-level Protein Representation Learning Improves Protein Structure Prediction
by: Kim, Taewon, et al.
Published: (2026)
by: Kim, Taewon, et al.
Published: (2026)
MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization
by: Yu, JiangYong, et al.
Published: (2025)
by: Yu, JiangYong, et al.
Published: (2025)
Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens
by: Kim, Sohee, et al.
Published: (2025)
by: Kim, Sohee, et al.
Published: (2025)
Verifying Meta-Awareness via Predictive Rewards in Reasoning Models
by: Kim, Yoonjeon, et al.
Published: (2025)
by: Kim, Yoonjeon, et al.
Published: (2025)
Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting
by: Han, Wooseok, et al.
Published: (2024)
by: Han, Wooseok, et al.
Published: (2024)
Every Expert Matters: Towards Effective Knowledge Distillation for Mixture-of-Experts Language Models
by: Kim, Gyeongman, et al.
Published: (2025)
by: Kim, Gyeongman, et al.
Published: (2025)
Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI
by: Ye, Dayong, et al.
Published: (2025)
by: Ye, Dayong, et al.
Published: (2025)
No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization
by: Yang, June Yong, et al.
Published: (2024)
by: Yang, June Yong, et al.
Published: (2024)
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
by: Park, Taewon, et al.
Published: (2024)
by: Park, Taewon, et al.
Published: (2024)
Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models
by: Zhang, Che, et al.
Published: (2024)
by: Zhang, Che, et al.
Published: (2024)
A Pure Transformer Pretraining Framework on Text-attributed Graphs
by: Song, Yu, et al.
Published: (2024)
by: Song, Yu, et al.
Published: (2024)
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
by: Jang, Doohyuk, et al.
Published: (2024)
by: Jang, Doohyuk, et al.
Published: (2024)
Better by Comparison: Retrieval-Augmented Contrastive Reasoning for Automatic Prompt Optimization
by: Lee, Juhyeon, et al.
Published: (2025)
by: Lee, Juhyeon, et al.
Published: (2025)
Exploring the Potential of Large Language Models in Graph Generation
by: Yao, Yang, et al.
Published: (2024)
by: Yao, Yang, et al.
Published: (2024)
Bridging Large Language Models and Optimization: A Unified Framework for Text-attributed Combinatorial Optimization
by: Jiang, Xia, et al.
Published: (2024)
by: Jiang, Xia, et al.
Published: (2024)
Attention-based Iterative Decomposition for Tensor Product Representation
by: Park, Taewon, et al.
Published: (2024)
by: Park, Taewon, et al.
Published: (2024)
GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining
by: Wei, Chunyu, et al.
Published: (2025)
by: Wei, Chunyu, 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)
Reasoning Model is Stubborn: Diagnosing Instruction Overriding in Reasoning Models
by: Jang, Doohyuk, et al.
Published: (2025)
by: Jang, Doohyuk, et al.
Published: (2025)
TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
by: Jang, Hyeongwon, et al.
Published: (2025)
by: Jang, Hyeongwon, et al.
Published: (2025)
An Automatic Graph Construction Framework based on Large Language Models for Recommendation
by: Shan, Rong, et al.
Published: (2024)
by: Shan, Rong, et al.
Published: (2024)
The Impact of Negated Text on Hallucination with Large Language Models
by: Seo, Jaehyung, et al.
Published: (2025)
by: Seo, Jaehyung, et al.
Published: (2025)
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks
by: Zhang, Lei, et al.
Published: (2023)
by: Zhang, Lei, et al.
Published: (2023)
Unleash the Potential of CLIP for Video Highlight Detection
by: Han, Donghoon, et al.
Published: (2024)
by: Han, Donghoon, et al.
Published: (2024)
m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models
by: Huang, Xiaoke, et al.
Published: (2025)
by: Huang, Xiaoke, et al.
Published: (2025)
Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training
by: Zhang, Zhou, et al.
Published: (2024)
by: Zhang, Zhou, et al.
Published: (2024)
Automatic Channel Pruning for Multi-Head Attention
by: Lee, Eunho, et al.
Published: (2024)
by: Lee, Eunho, et al.
Published: (2024)
Exploring and Unleashing the Power of Large Language Models in Automated Code Translation
by: Yang, Zhen, et al.
Published: (2024)
by: Yang, Zhen, et al.
Published: (2024)
Similar Items
-
REBIND: Enhancing ground-state molecular conformation via force-based graph rewiring
by: Kim, Taewon, et al.
Published: (2024) -
AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler
by: Kim, Changhun, et al.
Published: (2024) -
TEDDY: Trimming Edges with Degree-based Discrimination strategY
by: Seo, Hyunjin, et al.
Published: (2024) -
Learning Flexible Forward Trajectories for Masked Molecular Diffusion
by: Seo, Hyunjin, et al.
Published: (2025) -
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
by: Lee, Jung Hyun, et al.
Published: (2024)