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$\mathcal{G}^2Pxy$: Generative Open-Set Node Classification on Graphs
  with Proxy Unknowns

G2Pxy\mathcal{G}^2PxyG2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns

10 August 2023
Qin Zhang
Zelin Shi
Xiaolin Zhang
Xiaojun Chen
Philippe Fournier-Viger
Shirui Pan
ArXiv (abs)PDFHTML

Papers citing "$\mathcal{G}^2Pxy$: Generative Open-Set Node Classification on Graphs with Proxy Unknowns"

13 / 13 papers shown
Title
G-Mixup: Graph Data Augmentation for Graph Classification
G-Mixup: Graph Data Augmentation for Graph Classification
Xiaotian Han
Zhimeng Jiang
Ninghao Liu
Helen Zhou
77
202
0
15 Feb 2022
Learning Placeholders for Open-Set Recognition
Learning Placeholders for Open-Set Recognition
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
VLM
65
198
0
28 Mar 2021
Open-World Class Discovery with Kernel Networks
Open-World Class Discovery with Kernel Networks
Zifeng Wang
Batool Salehi
Andrey Gritsenko
Kaushik R. Chowdhury
Stratis Ioannidis
Jennifer Dy
62
17
0
13 Dec 2020
GMAN: A Graph Multi-Attention Network for Traffic Prediction
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Chuanpan Zheng
Xiaoliang Fan
Cheng-Yu Wang
Jianzhong Qi
AI4TSAI4CE
128
1,385
0
11 Nov 2019
Complement Objective Training
Complement Objective Training
Hao-Yun Chen
Pei-Hsin Wang
Chun-Hao Liu
Shih-Chieh Chang
Jia Pan
Yutian Chen
Wei Wei
Da-Cheng Juan
AAML
61
49
0
04 Mar 2019
Why ReLU networks yield high-confidence predictions far away from the
  training data and how to mitigate the problem
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem
Matthias Hein
Maksym Andriushchenko
Julian Bitterwolf
OODD
180
559
0
13 Dec 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
486
20,265
0
30 Oct 2017
DOC: Deep Open Classification of Text Documents
DOC: Deep Open Classification of Text Documents
Lei Shu
Hu Xu
Bing-Quan Liu
VLM
69
302
0
25 Sep 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,877
0
14 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
521
15,369
0
07 Jun 2017
Open-Category Classification by Adversarial Sample Generation
Open-Category Classification by Adversarial Sample Generation
Yang Yu
Wei-Yang Qu
Nan Li
Zimin Guo
VLMGAN
67
83
0
24 May 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
179
3,482
0
07 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
686
29,183
0
09 Sep 2016
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