Energy-based Out-of-Distribution Detection for Graph Neural Networks

Energy-based Out-of-Distribution Detection for Graph Neural Networks

6 February 2023

Papers citing "Energy-based Out-of-Distribution Detection for Graph Neural Networks"

19 / 19 papers shown

Title
Graph Synthetic Out-of-Distribution Exposure with Large Language Models Haoyan Xu Zhengtao Yao Ziyi Wang Zhan Cheng Xiyang Hu Mengyuan Li Yue Zhao OODD 52 0 0 29 Apr 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Shenzhi Yang Bin Liang An Liu Lin Gui Xingkai Yao Xiaofang Zhang OODD 69 3 0 18 Apr 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs Yuhan Chen Yihong Luo Yifan Song Pengwen Dai Jing Tang Xiaochun Cao OODD 46 1 0 25 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 110 0 0 09 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 47 1 0 05 Feb 2025
LEGO-Learn: Label-Efficient Graph Open-Set Learning Haoyan Xu Kay Liu Zhengtao Yao Philip S. Yu Mengyuan Li Yue Zhao Yue Zhao OODD 65 5 0 21 Oct 2024
Can OOD Object Detectors Learn from Foundation Models? Jiahui Liu Xin Wen Shizhen Zhao Y. Chen Xiaojuan Qi OODD 40 2 0 08 Sep 2024
Uncertainty for Active Learning on Graphs Dominik Fuchsgruber Tom Wollschlager Bertrand Charpentier Antonio Oroz Stephan Günnemann 43 10 0 02 May 2024
Novel Node Category Detection Under Subpopulation Shift Hsing-Huan Chung Shravan Chaudhari Yoav Wald Xing Han Joydeep Ghosh 36 1 0 01 Apr 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 36 35 0 07 Mar 2024
Managing the unknown: a survey on Open Set Recognition and tangential areas Marcos Barcina-Blanco J. Lobo Pablo Garcia-Bringas Javier Del Ser VLM 33 2 0 14 Dec 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 20 4 0 10 Nov 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 37 4 0 16 Oct 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks Wentao Zhao Qitian Wu Chenxiao Yang Junchi Yan 24 12 0 20 Jun 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 81 3 0 04 Jun 2023
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning Haobo Wang Rui Xiao Yixuan Li Lei Feng Gang Niu Gang Chen J. Zhao VLM 46 25 0 22 Jan 2022
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings Benedek Rozemberczki Rik Sarkar 123 68 0 08 Jan 2021
Uncertainty Aware Semi-Supervised Learning on Graph Data Xujiang Zhao Feng Chen Shu Hu Jin-Hee Cho UQCV EDL BDL 118 130 0 24 Oct 2020
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