Why Propagate Alone? Parallel Use of Labels and Features on Graphs

Why Propagate Alone? Parallel Use of Labels and Features on Graphs

14 October 2021

Yong Yu

Zheng-Wei Zhang

Papers citing "Why Propagate Alone? Parallel Use of Labels and Features on Graphs"

10 / 10 papers shown

Title
Training-free Graph Neural Networks and the Power of Labels as Features Ryoma Sato 28 4 0 30 Apr 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs Minjie Wang Quan Gan David Wipf Zhenkun Cai Ning Li ... Chuan Lei Mu-Nan Zhang Weinan Zhang Christos Faloutsos Zheng-Wei Zhang 38 3 0 28 Apr 2024
Automated Data Curation for Robust Language Model Fine-Tuning Jiuhai Chen Jonas W. Mueller ALM 34 19 0 19 Mar 2024
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization Amber Yijia Zheng Tong He Yixuan Qiu Minjie Wang David Wipf 33 2 0 07 Mar 2024
Nonlinear Correct and Smooth for Semi-Supervised Learning Yuanhang Shao Xiuwen Liu 21 1 0 09 Oct 2023
Label Information Enhanced Fraud Detection against Low Homophily in Graphs Yuchen Wang Jinghui Zhang Zhengjie Huang Weibin Li Shi Feng ... Dianhai Yu Fang Dong Jiahui Jin Beilun Wang Junzhou Luo 20 38 0 21 Feb 2023
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models Yi Luo Guiduo Duan Guangchun Luo Aiguo Chen 20 1 0 19 Nov 2022
Bag of Tricks for Node Classification with Graph Neural Networks Yangkun Wang Jiarui Jin Weinan Zhang Yong Yu Zheng-Wei Zhang David Wipf 26 56 0 24 Mar 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 51 52 0 21 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