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2002.08274
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Residual Correlation in Graph Neural Network Regression
19 February 2020
Junteng Jia
Austin R. Benson
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Papers citing
"Residual Correlation in Graph Neural Network Regression"
16 / 16 papers shown
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
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Multi-View Graph Representation Learning Beyond Homophily
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Bei Lin
You Li
Ning Gui
Zhuopeng Xu
Zhiwu Yu
SSL
338
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15 Apr 2023
Residual Correction in Real-Time Traffic Forecasting
International Conference on Information and Knowledge Management (CIKM), 2022
Daejin Kim
Young Cho
Dongmin Kim
Cheonbok Park
Jaegul Choo
327
12
0
12 Sep 2022
Certified Graph Unlearning
Eli Chien
Chao Pan
O. Milenkovic
MU
421
56
0
18 Jun 2022
Scalable Deep Gaussian Markov Random Fields for General Graphs
International Conference on Machine Learning (ICML), 2022
Joel Oskarsson
Per Sidén
Fredrik Lindsten
BDL
176
5
0
10 Jun 2022
Positional Encoder Graph Neural Networks for Geographic Data
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Konstantin Klemmer
Nathan Safir
Daniel B. Neill
GNN
562
47
0
19 Nov 2021
Random Graph-Based Neuromorphic Learning with a Layer-Weaken Structure
Ruiqi Mao
Rongxin Cui
GNN
389
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
314
18
0
30 Sep 2021
Local Augmentation for Graph Neural Networks
International Conference on Machine Learning (ICML), 2021
Songtao Liu
Rex Ying
Hanze Dong
Lanqing Li
Qifeng Bai
Yu Rong
P. Zhao
Junzhou Huang
Dinghao Wu
486
119
0
08 Sep 2021
New Benchmarks for Learning on Non-Homophilous Graphs
Derek Lim
Xiuyu Li
Felix Hohne
Ser-Nam Lim
421
114
0
03 Apr 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
International Conference on Learning Representations (ICLR), 2021
Sergei Ivanov
Liudmila Prokhorenkova
AI4CE
255
61
0
21 Jan 2021
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations
SIAM Journal on Mathematics of Data Science (SIMODS), 2021
Junteng Jia
Austin R. Benson
271
33
0
19 Jan 2021
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
International Conference on Learning Representations (ICLR), 2020
Jiaqi Ma
B. Chang
Xuefei Zhang
Qiaozhu Mei
353
16
0
05 Oct 2020
Adaptive Universal Generalized PageRank Graph Neural Network
International Conference on Learning Representations (ICLR), 2020
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
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966
0
14 Jun 2020
Understanding and Resolving Performance Degradation in Graph Convolutional Networks
International Conference on Information and Knowledge Management (CIKM), 2020
Kuangqi Zhou
Yanfei Dong
Kaixin Wang
W. Lee
Bryan Hooi
Huan Xu
Jiashi Feng
GNN
BDL
355
106
0
12 Jun 2020
A Collective Learning Framework to Boost GNN Expressiveness
Mengyue Hang
Jennifer Neville
Bruno Ribeiro
AI4CE
325
4
0
26 Mar 2020
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