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Large Language Model Meets Graph Neural Network in Knowledge
  Distillation

Large Language Model Meets Graph Neural Network in Knowledge Distillation

8 February 2024
Shengxiang Hu
Guobing Zou
Song Yang
Yanglan Gan
Bofeng Zhang
Yixin Chen
ArXivPDFHTML

Papers citing "Large Language Model Meets Graph Neural Network in Knowledge Distillation"

10 / 10 papers shown
Title
An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge
  Graph-Integrated Collaboration
An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration
Yihao Li
Ru Zhang
Jianyi Liu
LRM
55
15
0
07 Feb 2024
ABKD: Graph Neural Network Compression with Attention-Based Knowledge
  Distillation
ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation
Anshul Ahluwalia
Rohit Das
Payman Behnam
Alind Khare
Pan Li
Alexey Tumanov
14
2
0
24 Oct 2023
An Empirical Study of Instruction-tuning Large Language Models in
  Chinese
An Empirical Study of Instruction-tuning Large Language Models in Chinese
Q. Si
Tong Wang
Zheng Lin
Xu Zhang
Yanan Cao
Weiping Wang
ALM
51
16
0
11 Oct 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph
  Representations
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
Qitian Wu
Wen-Long Zhao
Chenxiao Yang
Hengrui Zhang
Fan Nie
Haitian Jiang
Yatao Bian
Junchi Yan
AI4CE
33
74
0
19 Jun 2023
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation
  from GNNs to MLPs
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs
Taiqiang Wu
Zhe Zhao
Jiahao Wang
Xingyu Bai
Lei Wang
Ngai Wong
Yujiu Yang
47
9
0
24 Mar 2023
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood
  Prediction
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
Eli Chien
Wei-Cheng Chang
Cho-Jui Hsieh
Hsiang-Fu Yu
Jiong Zhang
O. Milenkovic
Inderjit S Dhillon
137
130
0
29 Oct 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
84
554
0
04 Jan 2021
A Theoretical Analysis of the Repetition Problem in Text Generation
A Theoretical Analysis of the Repetition Problem in Text Generation
Z. Fu
Wai Lam
Anthony Man-Cho So
Bei Shi
67
89
0
29 Dec 2020
Model Extraction Attacks on Graph Neural Networks: Taxonomy and
  Realization
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization
Bang Wu
Xiangwen Yang
Shirui Pan
Xingliang Yuan
MIACV
MLAU
47
47
0
24 Oct 2020
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