On the Connection Between MPNN and Graph Transformer

27 January 2023

Papers citing "On the Connection Between MPNN and Graph Transformer"

7 / 7 papers shown

Title
Sampling Foundational Transformer: A Theoretical Perspective Viet Anh Nguyen Minh Lenhat Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong Son-Hy 29 0 0 11 Aug 2024
Next Level Message-Passing with Hierarchical Support Graphs Carlos Vonessen Florian Grötschla Roger Wattenhofer 22 1 0 22 Jun 2024
Discrete-state Continuous-time Diffusion for Graph Generation Zhe Xu Ruizhong Qiu Yuzhong Chen Huiyuan Chen Xiran Fan Menghai Pan Zhichen Zeng Mahashweta Das Hanghang Tong 19 8 0 19 May 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou Rose Yu Yusu Wang 16 7 0 04 Apr 2024
DE-HNN: An effective neural model for Circuit Netlist representation Zhishang Luo Truong Son-Hy Puoya Tabaghi Donghyeon Koh Michael Defferrard Elahe Rezaei Ryan Carey William Rhett Davis Rajeev Jain Yusu Wang 14 5 0 30 Mar 2024
GRPE: Relative Positional Encoding for Graph Transformer Wonpyo Park Woonggi Chang Donggeon Lee Juntae Kim Seung-won Hwang 39 74 0 30 Jan 2022
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016