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Distribution Free Prediction Sets for Node Classification

Distribution Free Prediction Sets for Node Classification

26 November 2022
J. Clarkson
    AI4CE
ArXivPDFHTML

Papers citing "Distribution Free Prediction Sets for Node Classification"

20 / 20 papers shown
Title
Enhanced Route Planning with Calibrated Uncertainty Set
Lingxuan Tang
Rui Luo
Zhixin Zhou
Nicolo Colombo
34
1
0
13 Mar 2025
Towards Anthropomorphic Conversational AI Part I: A Practical Framework
Fei Wei
Yaliang Li
Bolin Ding
36
0
0
28 Feb 2025
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
Ting Wang
Zhixin Zhou
Rui Luo
23
5
0
06 Jan 2025
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural
  Networks
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks
Yuntian He
Pranav Maneriker
Anutam Srinivasan
Aditya T. Vadlamani
Srinivasan Parthasarathy
28
0
0
28 Oct 2024
Conformal Prediction for Federated Graph Neural Networks with Missing
  Neighbor Information
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information
Ömer Faruk Akgül
R. Kannan
Viktor Prasanna
FedML
13
0
0
17 Oct 2024
Conformal Prediction: A Data Perspective
Conformal Prediction: A Data Perspective
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
56
2
0
09 Oct 2024
Benchmarking Graph Conformal Prediction: Empirical Analysis,
  Scalability, and Theoretical Insights
Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights
Pranav Maneriker
Aditya T. Vadlamani
Anutam Srinivasan
Yuntian He
Ali Payani
Srinivasan Parthasarathy
14
0
0
26 Sep 2024
Split Conformal Prediction under Data Contamination
Split Conformal Prediction under Data Contamination
Jase Clarkson
Wenkai Xu
Mihai Cucuringu
G. Reinert
24
1
0
10 Jul 2024
Conformalized Link Prediction on Graph Neural Networks
Conformalized Link Prediction on Graph Neural Networks
Tianyi Zhao
Jian Kang
Lu Cheng
29
6
0
26 Jun 2024
Conformal Load Prediction with Transductive Graph Autoencoders
Conformal Load Prediction with Transductive Graph Autoencoders
Rui Luo
Nicolo Colombo
16
9
0
12 Jun 2024
Valid Conformal Prediction for Dynamic GNNs
Valid Conformal Prediction for Dynamic GNNs
Ed Davis
Ian Gallagher
Daniel J. Lawson
Patrick Rubin-Delanchy
AI4CE
32
3
0
29 May 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks
Similarity-Navigated Conformal Prediction for Graph Neural Networks
Jianqing Song
Jianguo Huang
Wenyu Jiang
Baoming Zhang
Shuangjie Li
Chongjun Wang
27
2
0
23 May 2024
Uncertainty Quantification on Graph Learning: A Survey
Uncertainty Quantification on Graph Learning: A Survey
Chao Chen
Chenghua Guo
Rui Xu
Xiangwen Liao
Xi Zhang
Sihong Xie
Hui Xiong
Philip S. Yu
AI4CE
26
1
0
23 Apr 2024
Uncertainty in Graph Neural Networks: A Survey
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
46
8
0
11 Mar 2024
On the Temperature of Bayesian Graph Neural Networks for Conformal
  Prediction
On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction
Seohyeon Cha
Honggu Kang
Joonhyuk Kang
11
3
0
17 Oct 2023
Conformal Prediction for Deep Classifier via Label Ranking
Conformal Prediction for Deep Classifier via Label Ranking
Jianguo Huang
Huajun Xi
Linjun Zhang
Huaxiu Yao
Yue Qiu
Hongxin Wei
28
21
0
10 Oct 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural
  Networks
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
Kexin Huang
Ying Jin
Emmanuel Candès
J. Leskovec
24
57
0
23 May 2023
Predictive Inference with Feature Conformal Prediction
Predictive Inference with Feature Conformal Prediction
Jiaye Teng
Chuan Wen
Dinghuai Zhang
Yoshua Bengio
Yang Gao
Yang Yuan
27
24
0
01 Oct 2022
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
167
1,058
0
13 Feb 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
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