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1811.05868
Cited By
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"
50 / 184 papers shown
Title
Generating Skyline Explanations for Graph Neural Networks
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Haolai Che
Arijit Khan
Yinghui Wu
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12 May 2025
Rethinking Federated Graph Learning: A Data Condensation Perspective
Hao Zhang
Xunkai Li
Y. X. Zhu
Lianglin Hu
FedML
DD
AI4CE
49
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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
32
0
0
02 May 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs
Michael Ito
Jiong Zhu
Dexiong Chen
Danai Koutra
Jenna Wiens
101
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
64
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
27
0
0
17 Apr 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffM
GNN
71
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
79
1
0
06 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
37
1
0
25 Feb 2025
Graph Masked Language Models
Aarush Sinha
OM Kumar CU
AI4CE
41
0
0
24 Feb 2025
Unveiling Mode Connectivity in Graph Neural Networks
Bingheng Li
Z. Chen
Haoyu Han
Shenglai Zeng
J. Liu
Jiliang Tang
38
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
80
0
0
17 Feb 2025
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning
Srinitish Srinivasan
Omkumar CU
SSL
BDL
44
0
0
02 Feb 2025
Understanding Oversmoothing in GNNs as Consensus in Opinion Dynamics
Keqin Wang
Yulong Yang
Ishan Saha
Christine Allen-Blanchette
51
1
0
31 Jan 2025
FIT-GNN: Faster Inference Time for GNNs Using Coarsening
Shubhajit Roy
Hrriday Ruparel
Kishan Ved
Anirban Dasgupta
GNN
AI4CE
60
0
0
28 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
44
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
95
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
30
0
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
144
2
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
47
0
0
17 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Yonghao Liu
Fausto Giunchiglia
Ximing Li
Lan Huang
Xiaoyue Feng
Renchu Guan
OffRL
86
0
0
10 Jan 2025
Discrete Curvature Graph Information Bottleneck
Xingcheng Fu
Jian Wang
Yisen Gao
Qingyun Sun
Haonan Yuan
Jianxin Li
Xianxian Li
29
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
47
1
0
26 Dec 2024
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning
Jianqing Liang
Xinkai Wei
Min Chen
Zhiqiang Wang
Jiye Liang
71
0
0
18 Dec 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
Guoguo Ai
Guansong Pang
Hezhe Qiao
Yuan Gao
Hui Yan
67
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 R. Li
Jundong Li
Kaize Ding
OOD
45
2
0
25 Oct 2024
Sparse Decomposition of Graph Neural Networks
Yaochen Hu
Mai Zeng
Ge Zhang
P. Rumiantsev
Liheng Ma
Yingxue Zhang
Mark Coates
27
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
60
5
0
21 Oct 2024
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information
Ömer Faruk Akgül
R. Kannan
Viktor Prasanna
FedML
18
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
35
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
34
0
0
12 Oct 2024
Simplifying complex machine learning by linearly separable network embedding spaces
Alexandros Xenos
N. Malod-Dognin
Natasa Przulj
20
0
0
02 Oct 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
21
0
0
09 Sep 2024
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks
Mustafa Coşkun
A. Grama
Mehmet Koyutürk
30
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
39
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
19
1
0
01 Aug 2024
Scalable Graph Compressed Convolutions
Junshu Sun
Chen Yang
Shuhui Wang
Qingming Huang
GNN
36
0
0
26 Jul 2024
Krait: A Backdoor Attack Against Graph Prompt Tuning
Ying Song
Rita Singh
Balaji Palanisamy
AAML
48
0
0
18 Jul 2024
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs
Amitoz Azad
Yuan Fang
32
1
0
01 Jul 2024
BADM: Batch ADMM for Deep Learning
Ouya Wang
Shenglong Zhou
Geoffrey Ye Li
ODL
32
1
0
30 Jun 2024
Commute Graph Neural Networks
Wei Zhuo
Han Yu
Guang Tan
Xiaoxiao Li
GNN
90
1
0
30 Jun 2024
Federated Graph Semantic and Structural Learning
Wenke Huang
Guancheng Wan
Mang Ye
Bo Du
FedML
27
42
0
27 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
31
2
0
27 May 2024
Bayesian Optimization of Functions over Node Subsets in Graphs
Huidong Liang
Xingchen Wan
Xiaowen Dong
40
1
0
24 May 2024
Unleash Graph Neural Networks from Heavy Tuning
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
AI4CE
27
2
0
21 May 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
24
5
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
21
0
0
14 Apr 2024
Novel Node Category Detection Under Subpopulation Shift
Hsing-Huan Chung
Shravan Chaudhari
Yoav Wald
Xing Han
Joydeep Ghosh
29
1
0
01 Apr 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks
Jing Gu
Dongmian Zou
32
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
38
8
0
06 Mar 2024
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