Pitfalls of Graph Neural Network Evaluation

14 November 2018

Oleksandr Shchur

Maximilian Mumme

Aleksandar Bojchevski

Stephan Günnemann

GNN

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Papers citing "Pitfalls of Graph Neural Network Evaluation"

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Title
POWN: Prototypical Open-World Node Classification Marcel Hoffmann Lukas Galke A. Scherp 36 0 0 14 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 46 2 0 08 Jun 2024
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations Zhengwu Zhang Yuntong Hu Bo Pan Chen Ling Liang Zhao 46 2 0 27 May 2024
Bayesian Optimization of Functions over Node Subsets in Graphs Huidong Liang Xingchen Wan Xiaowen Dong 60 1 0 24 May 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks Jianqing Song Jianguo Huang Wenyu Jiang Baoming Zhang Shuangjie Li Chongjun Wang 48 2 0 23 May 2024
Unleash Graph Neural Networks from Heavy Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao AI4CE 36 2 0 21 May 2024
A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications Wenbo Shang Xin Huang 36 9 0 23 Apr 2024
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning Yinlin Zhu Xunkai Li Zhengyu Wu Di Wu Miao Hu Ronghua Li FedML 31 6 0 22 Apr 2024
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise Tai Hasegawa Sukwon Yun Xin Liu Yin Jun Phua Tsuyoshi Murata 31 0 0 14 Apr 2024
Characterizing the Influence of Topology on Graph Learning Tasks Kailong Wu Yule Xie Jiaxin Ding Yuxiang Ren Luoyi Fu Xinbing Wang Cheng Zhou 39 0 0 11 Apr 2024
Novel Node Category Detection Under Subpopulation Shift Hsing-Huan Chung Shravan Chaudhari Yoav Wald Xing Han Joydeep Ghosh 38 1 0 01 Apr 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 0 23 Mar 2024
Forward Learning of Graph Neural Networks Namyong Park Xing Wang Antoine Simoulin Shuai Yang Grey Yang Ryan Rossi Puja Trivedi Nesreen K. Ahmed GNN 49 1 0 16 Mar 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks Jing Gu Dongmian Zou 47 3 0 06 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation Lirong Wu Haitao Lin Zhangyang Gao Guojiang Zhao Stan Z. Li 45 8 0 06 Mar 2024
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning Seungyoon Choi Wonjoong Kim Sungwon Kim Yeonjun In Sein Kim Chanyoung Park CLL 32 5 0 21 Feb 2024
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes Qian Wang Zemin Liu Zhen Zhang Bingsheng He 35 1 0 20 Feb 2024
Universal Link Predictor By In-Context Learning on Graphs Kaiwen Dong Haitao Mao Zhichun Guo Nitesh Chawla 38 5 0 12 Feb 2024
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs S. Chatterjee Suman Kundu 16 0 0 30 Jan 2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction Kangkang Lu Yanhua Yu Hao Fei Xuan Li Zixuan Yang Zirui Guo Meiyu Liang Mengran Yin Tat-Seng Chua 31 3 0 28 Jan 2024
Towards Effective and General Graph Unlearning via Mutual Evolution Xunkai Li Yulin Zhao Zhengyu Wu Wentao Zhang Ronghua Li Guoren Wang MU 42 16 0 22 Jan 2024
FedGTA: Topology-aware Averaging for Federated Graph Learning Xunkai Li Zhengyu Wu Wentao Zhang Yinlin Zhu Ronghua Li Guoren Wang FedML 36 17 0 22 Jan 2024
An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm Kazuki Sunaga Keisuke Sugiura Hiroki Matsutani GNN 24 0 0 23 Dec 2023
Robust Node Representation Learning via Graph Variational Diffusion Networks Jun Zhuang M. A. Hasan 26 7 0 18 Dec 2023
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs Jin Li Qirong Zhang Shuling Xu Xinlong Chen Longkun Guo Yanglan Fu 31 0 0 13 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 30 0 0 11 Dec 2023
Query by Activity Video in the Wild Tao Hu William Thong Pascal Mettes Cees G. M. Snoek 26 0 0 23 Nov 2023
Preserving Node-level Privacy in Graph Neural Networks Zihang Xiang Tianhao Wang Di Wang 32 6 0 12 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 30 4 0 10 Nov 2023
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel Xuan Li Zhanke Zhou Jiangchao Yao Yu Rong Lu Zhang Bo Han 53 3 0 02 Nov 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs Xiaotian Han Kaixiong Zhou Ting-Hsiang Wang Jundong Li Fei Wang Na Zou 34 0 0 23 Oct 2023
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method Yulan Hu Ouyang Sheng Jingyu Liu Ge Chen Zhirui Yang Junchen Wan Fuzheng Zhang Zhongyuan Wang Yong Liu 36 0 0 23 Oct 2023
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 47 7 0 20 Oct 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay AAML 45 23 0 10 Oct 2023
Perfect Alignment May be Poisonous to Graph Contrastive Learning Jingyu Liu Huayi Tang Yong Liu 33 2 0 06 Oct 2023
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation Shuang Wang B. Eravcı Rustam Guliyev Hakan Ferhatosmanoglu GNN MQ 39 6 0 29 Aug 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction Yucheng Shi Yushun Dong Qiaoyu Tan Jundong Li Ninghao Liu 53 25 0 18 Aug 2023
Learning on Graphs with Out-of-Distribution Nodes Yunho Song Donglin Wang OODD 21 39 0 13 Aug 2023
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification Sandra Gilhuber Julian Busch Daniel Rotthues Christian M. m. Frey Thomas Seidl DiffM 44 1 0 31 Jul 2023
Examining the Effects of Degree Distribution and Homophily in Graph Learning Models Mustafa Yasir John Palowitch Anton Tsitsulin Long Tran-Thanh Bryan Perozzi 18 6 0 17 Jul 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Eli Chien Wei-Ning Chen Chao Pan Pan Li Ayfer Özgür O. Milenkovic 41 12 0 12 Jul 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 39 23 0 16 Jun 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 26 24 0 16 Jun 2023
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs Zehui Li Xiangyu Zhao Mingzhu Shen Guy-Bart Stan Pietro Lio Yiren Zhao 30 1 0 08 Jun 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 91 3 0 04 Jun 2023
Confidence-Based Feature Imputation for Graphs with Partially Known Features Daeho Um Jiwoong Park Seulki Park Jin Young Choi DiffM 27 15 0 26 May 2023
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module Claudio Battiloro Indro Spinelli Lev Telyatnikov Michael M. Bronstein Simone Scardapane P. Lorenzo BDL 31 14 0 25 May 2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint Paiheng Xu Yuhang Zhou Bang An Wei Ai Furong Huang 34 6 0 25 May 2023
Editable Graph Neural Network for Node Classifications Zirui Liu Zhimeng Jiang Shaochen Zhong Kaixiong Zhou Li Li Rui Chen Soo-Hyun Choi Xia Hu 27 6 0 24 May 2023
Self-Explainable Graph Neural Networks for Link Prediction Huaisheng Zhu Dongsheng Luo Xianfeng Tang Junjie Xu Hui Liu Suhang Wang 23 1 0 21 May 2023