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GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
v1v2 (latest)

GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels

Neural Information Processing Systems (NeurIPS), 2023
23 October 2023
Xin-Yang Zheng
Miao Zhang
C. Chen
Soheila Molaei
Chuan Zhou
Shirui Pan
    GNN
ArXiv (abs)PDFHTML

Papers citing "GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels"

15 / 15 papers shown
Title
Test-time GNN Model Evaluation on Dynamic Graphs
Test-time GNN Model Evaluation on Dynamic Graphs
Bo Li
Xin-Yang Zheng
Ming Jin
Can Wang
Shirui Pan
109
0
0
28 Sep 2025
OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories
OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories
Bo Li
Yingqi Feng
Ming Jin
Xin-Yang Zheng
Yufei Tang
...
Qinghua Lu
Jingwei Yao
Shirui Pan
H. Zhang
Xingquan Zhu
DiffM
76
1
0
29 Aug 2025
ALSA: Anchors in Logit Space for Out-of-Distribution Accuracy Estimation
ALSA: Anchors in Logit Space for Out-of-Distribution Accuracy Estimation
Chenzhi Liu
Mahsa Baktashmotlagh
Yanran Tang
Zi Huang
Ruihong Qiu
100
0
0
27 Aug 2025
BiMark: Unbiased Multilayer Watermarking for Large Language Models
BiMark: Unbiased Multilayer Watermarking for Large Language Models
Xiaoyan Feng
He Zhang
Yanjun Zhang
Leo Yu Zhang
Shirui Pan
OffRLWaLM
258
3
0
19 Jun 2025
A Survey of Large Language Models for Data Challenges in Graphs
A Survey of Large Language Models for Data Challenges in Graphs
Mengran Li
Pengyu Zhang
Wenbin Xing
Yijia Zheng
Klim Zaporojets
...
Jia Hu
Xiaolei Ma
Zhiyuan Liu
Paul Groth
Marcel Worring
AI4CE
386
2
0
24 May 2025
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
Shapley-Guided Utility Learning for Effective Graph Inference Data ValuationInternational Conference on Learning Representations (ICLR), 2025
Hongliang Chi
Qiong Wu
Zhengyi Zhou
Yao Ma
TDIAAML
287
2
0
23 Mar 2025
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling
Hu Cui
Renjing Huang
Ruoyu Zhang
Tessai Hayama
196
4
0
21 Jan 2025
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop
  Feature Quality Estimation
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality EstimationInternational Conference on Information and Knowledge Management (CIKM), 2024
Shiyuan Li
Yixin Liu
Qingfeng Chen
Geoffrey I. Webb
Shirui Pan
SSL
187
12
0
29 Jul 2024
Online GNN Evaluation Under Test-time Graph Distribution Shifts
Online GNN Evaluation Under Test-time Graph Distribution ShiftsInternational Conference on Learning Representations (ICLR), 2024
Xin-Yang Zheng
Dongjin Song
Qingsong Wen
Bo Du
Shirui Pan
154
13
0
15 Mar 2024
Graph Learning under Distribution Shifts: A Comprehensive Survey on
  Domain Adaptation, Out-of-distribution, and Continual Learning
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning
Man Wu
Xin-Yang Zheng
Qin Zhang
Xiao Shen
Xiong Luo
Xingquan Zhu
Shirui Pan
OOD
352
21
0
26 Feb 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on
  Graphs
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs
Shuhan Liu
Kaize Ding
OOD
214
9
0
17 Feb 2024
GOODAT: Towards Test-time Graph Out-of-Distribution Detection
GOODAT: Towards Test-time Graph Out-of-Distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024
Luzhi Wang
Dongxiao He
He Zhang
Yixin Liu
Wenjie Wang
Shirui Pan
Di Jin
Tat-Seng Chua
OODDOOD
194
20
0
10 Jan 2024
Reasoning on Graphs: Faithful and Interpretable Large Language Model
  Reasoning
Reasoning on Graphs: Faithful and Interpretable Large Language Model ReasoningInternational Conference on Learning Representations (ICLR), 2023
Linhao Luo
Yuan-Fang Li
Gholamreza Haffari
Shirui Pan
RALMLRM
443
374
0
02 Oct 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
Unraveling Privacy Risks of Individual Fairness in Graph Neural NetworksIEEE International Conference on Data Engineering (ICDE), 2023
He Zhang
Lizhen Qu
Shirui Pan
223
19
0
30 Jan 2023
Graph Neural Networks for Graphs with Heterophily: A Survey
Graph Neural Networks for Graphs with Heterophily: A Survey
Xin-Yang Zheng
Yi Wang
Yixin Liu
Ming Li
Miao Zhang
Di Jin
Philip S. Yu
Shirui Pan
267
273
0
14 Feb 2022
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