Residual Correlation in Graph Neural Network Regression

19 February 2020

Papers citing "Residual Correlation in Graph Neural Network Regression"

17 / 17 papers shown

Title
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks Yuwen Li Miao Xiong Bryan Hooi 11 7 0 30 May 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 22 6 0 15 Apr 2023
Residual Correction in Real-Time Traffic Forecasting Daejin Kim Young Cho Dongmin Kim Cheonbok Park Jaegul Choo 14 7 0 12 Sep 2022
Certified Graph Unlearning Eli Chien Chao Pan O. Milenkovic MU 30 38 0 18 Jun 2022
Scalable Deep Gaussian Markov Random Fields for General Graphs Joel Oskarsson Per Sidén Fredrik Lindsten BDL 9 3 0 10 Jun 2022
Positional Encoder Graph Neural Networks for Geographic Data Konstantin Klemmer Nathan Safir Daniel B. Neill GNN 22 33 0 19 Nov 2021
Random Graph-Based Neuromorphic Learning with a Layer-Weaken Structure Ruiqi Mao Rongxin Cui GNN 11 0 0 17 Nov 2021
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss Konstantin Klemmer Tianlin Xu Beatrice Acciaio Daniel B. Neill AI4TS 22 14 0 30 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 36 91 0 08 Sep 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 28 99 0 03 Apr 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 51 52 0 21 Jan 2021
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations J. Jia Austin R. Benson 21 28 0 19 Jan 2021
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks Jiaqi Ma B. Chang Xuefei Zhang Qiaozhu Mei 31 14 0 05 Oct 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 25 707 0 14 Jun 2020
Understanding and Resolving Performance Degradation in Graph Convolutional Networks Kuangqi Zhou Yanfei Dong Kaixin Wang W. Lee Bryan Hooi Huan Xu Jiashi Feng GNN BDL 39 88 0 12 Jun 2020
A Collective Learning Framework to Boost GNN Expressiveness Mengyue Hang Jennifer Neville Bruno Ribeiro AI4CE 17 4 0 26 Mar 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 836 0 28 Sep 2019