Language is All a Graph Needs

14 August 2023

Papers citing "Language is All a Graph Needs"

38 / 38 papers shown

Title
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Zhong Guan Likang Wu Hongke Zhao Ming He Jianpin Fan GNN 34 0 0 04 May 2025
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling Hyun Lee Chris Yi Maminur Islam B.D.S. Aritra 31 0 0 02 May 2025
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex Azadeh Beiranvand Seyed Mehdi Vahidipour 34 0 0 16 Apr 2025
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation Y. Wang Xinnan Dai Wenqi Fan Yao Ma 74 1 0 26 Feb 2025
BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning Haiteng Zhao Chang Ma FangZhi Xu Lingpeng Kong Zhi-Hong Deng LRM 44 2 0 23 Feb 2025
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Q. Zhu Liang Zhang Qianxiong Xu Cheng Long 143 1 0 22 Jan 2025
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models Qinggang Zhang Shengyuan Chen Yuanchen Bei Zheng Yuan Huachi Zhou Zijin Hong Junnan Dong Hao-Heng Chen Yi-Ju Chang Xiao Huang 3DV 66 7 0 21 Jan 2025
Graph Linearization Methods for Reasoning on Graphs with Large Language Models Christos Xypolopoulos Guokan Shang Xiao Fei Giannis Nikolentzos Hadi Abdine Iakovos Evdaimon Michail Chatzianastasis Giorgos Stamou Michalis Vazirgiannis 19 1 0 25 Oct 2024
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs Kai Wang Siqiang Luo Caihua Shan Yifei Shen 32 1 0 16 Oct 2024
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning Zhengyu Hu Yichuan Li Zhengyu Chen J. Wang Han Liu Kyumin Lee Kaize Ding GNN 167 1 0 09 Oct 2024
Automated test generation to evaluate tool-augmented LLMs as conversational AI agents Samuel Arcadinho David Aparicio Mariana Almeida 29 5 0 24 Sep 2024
LLMs generate structurally realistic social networks but overestimate political homophily Serina Chang Alicja Chaszczewicz Emma Wang Maya Josifovska Emma Pierson J. Leskovec 44 6 0 29 Aug 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs Yuxia Wu Shujie Li Yuan Fang Chuan Shi 38 1 0 26 Aug 2024
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling Lecheng Kong Jiarui Feng Hao Liu Chengsong Huang Jiaxin Huang Yixin Chen Muhan Zhang AI4CE 77 6 0 12 Jul 2024
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs Aaron Zolnai-Lucas Jack Boylan Chris Hokamp Parsa Ghaffari 34 1 0 10 Jul 2024
Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions Shumaila Javaid R. A. Khalil Nasir Saeed Bin He Mohamed-Slim Alouini 32 9 0 05 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 56 0 0 01 Jul 2024
Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models Hyunjin Seo Taewon Kim J. Yang Eunho Yang 37 0 0 28 May 2024
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations Zhengwu Zhang Yuntong Hu Bo Pan Chen Ling Liang Zhao 31 2 0 27 May 2024
Multi-Bit Distortion-Free Watermarking for Large Language Models Massieh Kordi Boroujeny Ya Jiang Kai Zeng Brian L. Mark WaLM VLM 40 4 0 26 Feb 2024
Let Your Graph Do the Talking: Encoding Structured Data for LLMs Bryan Perozzi Bahare Fatemi Dustin Zelle Anton Tsitsulin Mehran Kazemi Rami Al-Rfou Jonathan J. Halcrow GNN 32 55 0 08 Feb 2024
Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents Zelong Li Wenyue Hua Hao Wang He Zhu Yongfeng Zhang LLMAG 72 19 0 01 Feb 2024
A Survey of Graph Meets Large Language Model: Progress and Future Directions Yuhan Li Zhixun Li Peisong Wang Jia Li Xiangguo Sun Hongtao Cheng Jeffrey Xu Yu 35 54 0 21 Nov 2023
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting Xu Liu Junfeng Hu Yuan N. Li Shizhe Diao Yuxuan Liang Bryan Hooi Roger Zimmermann AI4TS 25 75 0 15 Oct 2023
Integrating Graphs with Large Language Models: Methods and Prospects Shirui Pan Yizhen Zheng Yixin Liu AIFin 27 25 0 09 Oct 2023
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 35 75 0 19 Jun 2023
OpenAGI: When LLM Meets Domain Experts Yingqiang Ge Wenyue Hua Kai Mei Jianchao Ji Juntao Tan Shuyuan Xu Zelong Li Yongfeng Zhang VLM LRM 38 209 0 10 Apr 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 286 2,232 0 22 Mar 2023
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 70 81 0 08 Oct 2022
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification Le Yu Leilei Sun Bowen Du T. Zhu Weifeng Lv 30 14 0 31 May 2022
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 311 11,915 0 04 Mar 2022
GRPE: Relative Positional Encoding for Graph Transformer Wonpyo Park Woonggi Chang Donggeon Lee Juntae Kim Seung-won Hwang 39 74 0 30 Jan 2022
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 152 130 0 29 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,844 0 18 Apr 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 94 558 0 04 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016