Improving Expressivity of GNNs with Subgraph-specific Factor Embedded
Normalization

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization

31 May 2023

Papers citing "Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization"

18 / 18 papers shown

Title
Matrix Factorization with Dynamic Multi-view Clustering for Recommender System Shangde Gao Ke Liu Yichao Fu Hongxia Xu J. Wu 28 0 0 20 Apr 2025
SPDFusion: An Infrared and Visible Image Fusion Network Based on a Non-Euclidean Representation of Riemannian Manifolds Huan Kang Hui Li Tianyang Xu Rui Wang Xiao Wu J. Kittler 26 0 0 16 Nov 2024
Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation Wenda Li Kaixuan Chen Shunyu Liu Tongya Zheng Wenjie Huang Mingli Song 27 0 0 13 Jul 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 43 2 0 03 Jul 2024
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks Yuwen Wang Shunyu Liu Tongya Zheng Kaixuan Chen Mingli Song AI4CE 24 5 0 02 Jul 2024
FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition Ganggui Ding Canyu Zhao Wen Wang Zhen Yang Zide Liu Hao Chen Chunhua Shen DiffM 22 20 0 22 May 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof Beatrice Bevilacqua Carola-Bibiane Schönlieb Haggai Maron 24 5 0 20 Apr 2024
A Lie Group Approach to Riemannian Batch Normalization Ziheng Chen Yue Song Yunmei Liu N. Sebe BDL 40 6 0 17 Mar 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory Weichen Zhao Chenguang Wang Xinyan Wang Congying Han Tiande Guo Tianshu Yu 32 0 0 23 Feb 2024
Message-passing selection: Towards interpretable GNNs for graph classification Wen-Ding Li Kaixuan Chen Shunyu Liu Wenjie Huang Haofei Zhang Yingjie Tian Yun Su Mingli Song 13 1 0 03 Jun 2023
Deep Graph Reprogramming Yongcheng Jing Chongbin Yuan Li Ju Yiding Yang Xinchao Wang Dacheng Tao 75 35 0 28 Apr 2023
An Efficient Subgraph GNN with Provable Substructure Counting Power Zuoyu Yan Junru Zhou Liangcai Gao Zhi Tang Muhan Zhang GNN 14 7 0 19 Mar 2023
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 124 137 0 30 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
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 179 304 0 15 Oct 2021
Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks Osman Boyaci M. Narimani K. Davis Muhammad Ismail T. Overbye E. Serpedin 27 56 0 24 Apr 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 178 907 0 02 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 220 1,726 0 09 Jun 2018