ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.11821
  4. Cited By
Microstructures and Accuracy of Graph Recall by Large Language Models
v1v2 (latest)

Microstructures and Accuracy of Graph Recall by Large Language Models

19 February 2024
Yanbang Wang
Hejie Cui
Jon M. Kleinberg
ArXiv (abs)PDFHTML

Papers citing "Microstructures and Accuracy of Graph Recall by Large Language Models"

9 / 9 papers shown
Title
Large Language Models on Graphs: A Comprehensive Survey
Large Language Models on Graphs: A Comprehensive Survey
Bowen Jin
Gang Liu
Chi Han
Meng Jiang
Heng Ji
Jiawei Han
AI4CE
92
161
0
05 Dec 2023
One for All: Towards Training One Graph Model for All Classification
  Tasks
One for All: Towards Training One Graph Model for All Classification Tasks
Hao Liu
Jiarui Feng
Lecheng Kong
Ningyue Liang
Dacheng Tao
Yixin Chen
Muhan Zhang
AI4CE
80
132
0
29 Sep 2023
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Maciej Besta
Nils Blach
Aleš Kubíček
Robert Gerstenberger
Michal Podstawski
...
Joanna Gajda
Tomasz Lehmann
H. Niewiadomski
Piotr Nyczyk
Torsten Hoefler
LRMAI4CELM&Ro
145
671
0
18 Aug 2023
GPT4Graph: Can Large Language Models Understand Graph Structured Data ?
  An Empirical Evaluation and Benchmarking
GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking
Jiayan Guo
Lun Du
Hengyu Liu
Mengyu Zhou
Xinyi He
Shi Han
AI4MH
69
167
0
24 May 2023
StructGPT: A General Framework for Large Language Model to Reason over
  Structured Data
StructGPT: A General Framework for Large Language Model to Reason over Structured Data
Jinhao Jiang
Kun Zhou
Zican Dong
Keming Ye
Wayne Xin Zhao
Ji-Rong Wen
LRMLMTDRALM
93
296
0
16 May 2023
Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph
  Construction
Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction
Yunzhi Yao
Shengyu Mao
Ningyu Zhang
Xiangnan Chen
Shumin Deng
Xi Chen
Huajun Chen
81
10
0
19 Oct 2022
Language Models of Code are Few-Shot Commonsense Learners
Language Models of Code are Few-Shot Commonsense Learners
Aman Madaan
Shuyan Zhou
Uri Alon
Yiming Yang
Graham Neubig
ReLMLRM
113
221
0
13 Oct 2022
Selection-Inference: Exploiting Large Language Models for Interpretable
  Logical Reasoning
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell
Murray Shanahan
I. Higgins
ReLMLRM
105
363
0
19 May 2022
Inductive Representation Learning in Temporal Networks via Causal
  Anonymous Walks
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
Yanbang Wang
Yen-Yu Chang
Yunyu Liu
J. Leskovec
Pan Li
CMLAI4TS
110
240
0
15 Jan 2021
1