Edgeformers: Graph-Empowered Transformers for Representation Learning on
Textual-Edge Networks

Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks

21 February 2023

Yu Zhang

Papers citing "Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks"

7 / 7 papers shown

Title
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models Siwei Zhang Yun Xiong Yateng Tang Xi Chen Zian Jia Zehao Gu Jiarong Xu Jiawei Zhang AI4CE 75 1 0 18 Mar 2025
A Survey of Graph Transformers: Architectures, Theories and Applications Chaohao Yuan Kangfei Zhao Ercan Engin Kuruoglu Liang Wang Tingyang Xu Wenbing Huang Deli Zhao Hong Cheng Yu Rong 57 4 0 23 Feb 2025
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations Zhengwu Zhang Yuntong Hu Bo Pan Chen Ling Liang Zhao 38 2 0 27 May 2024
Patton: Language Model Pretraining on Text-Rich Networks Bowen Jin Wentao Zhang Yu Zhang Yu Meng Xinyang Zhang Qi Zhu Jiawei Han VLM 40 44 0 20 May 2023
Relphormer: Relational Graph Transformer for Knowledge Graph Representations Zhen Bi Shuyang Cheng Jing Chen Xiaozhuan Liang Feiyu Xiong Ningyu Zhang 31 37 0 22 May 2022
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search Jason Zhu Yanling Cui Yuming Liu Hao Sun Xue Li Markus Pelger Tianqi Yan Liangjie Zhang Ruofei Zhang Huasha Zhao AI4CE 72 74 0 15 Jan 2021
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,450 0 18 Mar 2020