Hierarchical Compression of Text-Rich Graphs via Large Language Models

Hierarchical Compression of Text-Rich Graphs via Large Language Models

13 June 2024

Christos Faloutsos

George Karypis

Yizhou Sun

Papers citing "Hierarchical Compression of Text-Rich Graphs via Large Language Models"

6 / 6 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
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
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 213 1,656 0 15 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
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search Jason Zhu Yanling Cui Yuming Liu Hao-Lun Sun Xue Li Markus Pelger Tianqi Yan Liangjie Zhang Ruofei Zhang Huasha Zhao AI4CE 72 74 0 15 Jan 2021
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