Unleashing the Power of Transformer for Graphs

Unleashing the Power of Transformer for Graphs

18 February 2022

Huajun Chen

Papers citing "Unleashing the Power of Transformer for Graphs"

6 / 6 papers shown

Title
K-ON: Stacking Knowledge On the Head Layer of Large Language Model Lingbing Guo Y. Zhang Zhongpu Bo Zhuo Chen Mengshu Sun Zhiqiang Zhang Wen Zhang H. Chen 94 0 0 10 Feb 2025
MKGL: Mastery of a Three-Word Language Lingbing Guo Zhongpu Bo Zhuo Chen Yichi Zhang Jiaoyan Chen ... Yangyifei Luo Qian Li Qiang Zhang Wen Zhang Huajun Chen 32 1 0 10 Oct 2024
Gradformer: Graph Transformer with Exponential Decay Chuang Liu Zelin Yao Yibing Zhan Xueqi Ma Shirui Pan Wenbin Hu 39 4 0 24 Apr 2024
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning Haiteng Zhao Shengchao Liu Chang Ma Hannan Xu Jie Fu Zhihong Deng Lingpeng Kong Qi Liu 23 60 0 28 May 2023
Are More Layers Beneficial to Graph Transformers? Haiteng Zhao Shuming Ma Dongdong Zhang Zhi-Hong Deng Furu Wei 27 12 0 01 Mar 2023
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 916 0 02 Mar 2020