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
GraphFLEx: Structure Learning Framework for Large Expanding Graphs Mohit Kataria Nikita Malik Sandeep Kumar Jayadeva GNN 36 0 0 18 May 2025
Relation-Aware Graph Foundation Model Jianxiang Yu Jiapeng Zhu Hao Qian Ziqi Liu Zhiqiang Zhang Xiang Li 22 0 0 17 May 2025
Schreier-Coset Graph Propagation Aryan Mishra Lizhen Lin 42 0 0 15 May 2025
Negative Metric Learning for Graphs Yiyang Zhao Chengpei Wu Lilin Zhang Ning Yang 26 0 0 15 May 2025
Generating Skyline Explanations for Graph Neural Networks Dazhuo Qiu Haolai Che Arijit Khan Yinghui Wu 38 0 0 12 May 2025
Rethinking Federated Graph Learning: A Data Condensation Perspective Hao Zhang Xunkai Li Bo Li Lianglin Hu FedML DD AI4CE 59 0 0 05 May 2025
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Xunkai Li Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 40 0 0 02 May 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs Michael Ito Jiong Zhu Dexiong Chen Danai Koutra Jenna Wiens 214 1 0 29 Apr 2025
PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph Shengtao Zhang Haokai Zhang Shiqi Lou Zicheng Wang Zinan Zeng Yilin Wang Minnan Luo 71 0 0 24 Apr 2025
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection Long Zeng Jianxiang Yu Jiapeng Zhu Qingsong Zhong Xiang Li 39 0 0 17 Apr 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 94 0 0 16 Mar 2025
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 92 3 0 06 Mar 2025
GNNMerge: Merging of GNN Models Without Accessing Training Data Vipul Garg Ishita Thakre Sayan Ranu MoMe 87 0 0 05 Mar 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 53 2 0 25 Feb 2025
Graph Masked Language Models Aarush Sinha OM Kumar CU AI4CE 51 0 0 24 Feb 2025
Unveiling Mode Connectivity in Graph Neural Networks Bingheng Li Z. Chen Haoyu Han Shenglai Zeng J. Liu Jiliang Tang 53 0 0 18 Feb 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings Bowen Deng Tong Wang Lele Fu Sheng Huang Chuan Chen Tao Zhang 97 0 0 17 Feb 2025
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning Srinitish Srinivasan Omkumar CU SSL BDL 56 0 0 02 Feb 2025
Resolving Oversmoothing with Opinion Dissensus Keqin Wang Yulong Yang Ishan Saha Christine Allen-Blanchette 62 1 0 31 Jan 2025
FIT-GNN: Faster Inference Time for GNNs Using Coarsening Shubhajit Roy Hrriday Ruparel Kishan Ved Anirban Dasgupta GNN AI4CE 77 0 0 28 Jan 2025
Deep Modularity Networks with Diversity--Preserving Regularization Yasmin Salehi D. Giannacopoulos 38 0 0 23 Jan 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Taoran Fang Tianhong Gao Chunping Wang Yihao Shang Wei Chow Lei Chen Yang Yang 55 1 0 23 Jan 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 107 0 0 22 Jan 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach Xunkai Li Bowen Fan Zhengyu Wu Zhiyu Li Rong-Hua Li Guoren Wang MU 42 1 0 21 Jan 2025
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning Jiapeng Zhu Zichen Ding Jianxiang Yu Jiaqi Tan Xiang Li Weining Qian OffRL 157 3 0 20 Jan 2025
Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things Mengran Li Junzhou Chen Chenyun Yu Guanying Jiang Ronghui Zhang Yanming Shen Houbing Song 47 0 0 20 Jan 2025
Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan Qi Zhao Ze Ye Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 57 0 0 17 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Yuqi Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 201 0 0 10 Jan 2025
Discrete Curvature Graph Information Bottleneck Xingcheng Fu Jian Wang Yisen Gao Qingyun Sun Haonan Yuan Jianxin Li Xianxian Li 41 0 0 31 Dec 2024
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos Changwoon Choi Jeongjun Kim Geonho Cha Minkwan Kim Dongyoon Wee Young Min Kim 3DH 69 0 0 26 Dec 2024
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning Jianqing Liang Xinkai Wei Min Chen Zhiqiang Wang Jiye Liang 88 0 0 18 Dec 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 72 0 0 26 Nov 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 55 2 0 25 Oct 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang Pavel Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 37 0 0 25 Oct 2024
LEGO-Learn: Label-Efficient Graph Open-Set Learning Haoyan Xu Kay Liu Zhengtao Yao Philip S. Yu Mengyuan Li Yue Zhao Yue Zhao OODD 68 6 0 21 Oct 2024
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information Ömer Faruk Akgül Rajgopal Kannan Viktor Prasanna FedML 31 0 0 17 Oct 2024
Control the GNN: Utilizing Neural Controller with Lyapunov Stability for Test-Time Feature Reconstruction Jielong Yang Rui Ding Feng Ji Hongbin Wang Linbo Xie 47 0 0 13 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 44 0 0 12 Oct 2024
Simplifying complex machine learning by linearly separable network embedding spaces Alexandros Xenos N. Malod-Dognin Natasa Przulj 35 0 0 02 Oct 2024
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs Pranav Maneriker Aditya T. Vadlamani Anutam Srinivasan Yuntian He Ali Payani Srinivasan Parthasarathy 33 0 0 26 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting Lirong Wu Haitao Lin Guojiang Zhao Cheng Tan Stan Z. Li 37 0 0 09 Sep 2024
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks Mustafa Coşkun A. Grama Mehmet Koyutürk 52 0 0 07 Sep 2024
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations Richard Bergna Sergio Calvo-Ordoñez Felix L. Opolka Pietro Liò Jose Miguel Hernandez-Lobato BDL 41 2 0 28 Aug 2024
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning Tianmeng Yang Jiahao Meng Min Zhou Yaming Yang Yujing Wang Xiangtai Li Yunhai Tong NoLa 36 1 0 01 Aug 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 58 0 0 26 Jul 2024
Krait: A Backdoor Attack Against Graph Prompt Tuning Ying Song Rita Singh Balaji Palanisamy AAML 63 0 0 18 Jul 2024
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs Amitoz Azad Yuan Fang 50 1 0 01 Jul 2024
BADM: Batch ADMM for Deep Learning Ouya Wang Shenglong Zhou Geoffrey Ye Li ODL 50 1 0 30 Jun 2024
Commute Graph Neural Networks Wei Zhuo Han Yu Guang Tan Xiaoxiao Li GNN 98 1 0 30 Jun 2024
Federated Graph Semantic and Structural Learning Wenke Huang Guancheng Wan Mang Ye Bo Du FedML 38 44 0 27 Jun 2024