Shirui Pan

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 414

Top Venues

Publications

Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection. AAAI (2024)
He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends. Proc. IEEE 112 (2) (2024)
Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Shilong Wang, Hao Wu, Yifan Duan, Guibin Zhang, Guohao Li, Yuxuan Liang, Shirui Pan, Kun Wang, Yang Wang
All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN. CoRR (2024)
Huan Yee Koh, Anh T. N. Nguyen, Shirui Pan, Lauren T. May, Geoffrey I. Webb
Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data. Nat. Mac. Intell. 6 (6) (2024)
Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. CoRR (2024)
Kaize Ding, Xiaoxiao Ma, Yixin Liu, Shirui Pan
Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise. KDD (2024)
Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan
Online GNN Evaluation Under Test-time Graph Distribution Shifts. CoRR (2024)
Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models. KDD (2024)
Tongtong Wu, Linhao Luo, Yuan-Fang Li, Shirui Pan, Thuy-Trang Vu, Gholamreza Haffari
Continual Learning for Large Language Models: A Survey. CoRR (2024)
Zihui Wang, Peizhen Yang, Xiaoliang Fan, Xu Yan, Zonghan Wu, Shirui Pan, Longbiao Chen, Yu Zang, Cheng Wang, Rongshan Yu
ConTIG: Continuous representation learning on temporal interaction graphs. Neural Networks 172 (2024)
Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs. CoRR (2024)
Fengzhao Shi, Yanan Cao, Ren Li, Xixun Lin, Yanmin Shang, Chuan Zhou, Jia Wu, Shirui Pan
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily. World Wide Web (WWW) 27 (3) (2024)
Soheila Molaei, Ghazaleh Niknam, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Hadi Zare, Tingting Zhu, Shirui Pan, David A. Clifton
Temporal dynamics unleashed: Elevating variational graph attention. Knowl. Based Syst. 299 (2024)
Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. KDD (2024)
Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning. AAAI (2024)
Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models. CoRR (2024)
Chunquan Liang, Yi Tian, Dongmin Zhao, Mei Li, Shirui Pan, Hongming Zhang, Jicheng Wei
Bootstrap Latent Prototypes for graph positive-unlabeled learning. Inf. Fusion 112 (2024)
Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective. CoRR (2024)
Hongzhi Zhang, Xiuwen Gong, Shirui Pan, Jia Wu, Bo Du, Wenbin Hu
A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction. CoRR (2024)
Cong Wang, Zhijie He, Runchang Jia, Shirui Pan, Lachlan J. M. Coin, Jiangning Song, Fuyi Li
PLANNER: A Multi-Scale Deep Language Model for the Origins of Replication Site Prediction. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Shixun Huang, Ge Lee, Zhifeng Bao, Shirui Pan
Cost-effective Data Labelling for Graph Neural Networks. WWW (2024)
Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, Steffen Staab
NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning. AAAI (2024)
Xin He, Wenqi Fan, Ruobing Wang, Yili Wang, Ying Wang, Shirui Pan, Xin Wang
Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias. CoRR (2024)
Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation. CoRR (2024)
Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. WWW (2024)
Man Wu, Xin Zheng, Qin Zhang, Xiao Shen, Xiong Luo, Xingquan Zhu, Shirui Pan
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning. CoRR (2024)
Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. CoRR (2024)
Zhengyun Zhou, Guojia Wan, Shirui Pan, Jia Wu, Wenbin Hu, Bo Du
Complex query answering over knowledge graphs foundation model using region embeddings on a lie group. World Wide Web (WWW) 27 (3) (2024)
Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. CoRR (2024)
Ming Li, Alessio Micheli, Yu Guang Wang, Shirui Pan, Pietro Lió, Giorgio Stefano Gnecco, Marcello Sanguineti
Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, Xindong Wu
Unifying Large Language Models and Knowledge Graphs: A Roadmap. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan, Philip S. Yu
Towards complex dynamic physics system simulation with graph neural ordinary equations. Neural Networks 176 (2024)
Guibin Zhang, Xiangguo Sun, Yanwei Yue, Kun Wang, Tianlong Chen, Shirui Pan
Graph Sparsification via Mixture of Graphs. CoRR (2024)
Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan
ARC: A Generalist Graph Anomaly Detector with In-Context Learning. CoRR (2024)
Shirui Pan, Yizhen Zheng, Yixin Liu
Integrating Graphs With Large Language Models: Methods and Prospects. IEEE Intell. Syst. 39 (1) (2024)
Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa T. Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values. CoRR (2024)
Linhao Luo, Yuan-Fang Li, Reza Haf, Shirui Pan
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning. ICLR (2024)
Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. CoRR (2024)
Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shengshan Hu, Asif Gill, Shirui Pan
Large Language Model Watermark Stealing With Mixed Integer Programming. CoRR (2024)
Bahram Mohammadi, Yicong Hong, Yuankai Qi, Qi Wu, Shirui Pan, Javen Qinfeng Shi
Augmented Commonsense Knowledge for Remote Object Grounding. AAAI (2024)
Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
Foundation Models for Time Series Analysis: A Tutorial and Survey. KDD (2024)
Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang
Graph spatiotemporal process for multivariate time series anomaly detection with missing values. Inf. Fusion 106 (2024)
Xin Mei, Libin Yang, Zuowei Jiang, Xiaoyan Cai, Dehong Gao, Junwei Han, Shirui Pan
An Inductive Reasoning Model based on Interpretable Logical Rules over temporal knowledge graph. Neural Networks 174 (2024)
Yang Liu, Chuan Zhou, Peng Zhang, Shirui Pan, Zhao Li, Hongyang Chen
Decision-focused Graph Neural Networks for Combinatorial Optimization. CoRR (2024)
Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen
Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. CoRR (2024)
Shiyuan Li, Qingfeng Chen, Zhixian Liu, Shirui Pan, Shichao Zhang
Bi-SGTAR: A simple yet efficient model for circRNA-disease association prediction based on known association pair only. Knowl. Based Syst. 291 (2024)
Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li
Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Guangsi Shi, Xiaofeng Deng, Linhao Luo, Lijuan Xia, Lei Bao, Bei Ye, Fei Du, Shirui Pan, Yuxiao Li
LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning. CoRR (2024)
Chuanpan Zheng, Xiaoliang Fan, Shirui Pan, Haibing Jin, Zhaopeng Peng, Zonghan Wu, Cheng Wang, Philip S. Yu
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Peng Bao, Rong Yan, Shirui Pan
Co-augmentation of structure and feature for boosting graph contrastive learning. Inf. Sci. 676 (2024)
Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen
: Robust Open-Set Graph Learning via Region-Based Prototype Learning. CoRR (2024)
Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR (2024)
Farid Saberi-Movahed, Kamal Berahmand, Razieh Sheikhpour, Yuefeng Li, Shirui Pan
Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey. CoRR (2024)
Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Bahram Mohammadi, Yicong Hong, Yuankai Qi, Qi Wu, Shirui Pan, Javen Qinfeng Shi
Augmented Commonsense Knowledge for Remote Object Grounding. CoRR (2024)
Yang Tao, Kai Guo, Yizhen Zheng, Shirui Pan, Xiaofeng Cao, Yi Chang
Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective. Inf. Sci. 657 (2024)
Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR (2024)
Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Kaize Ding, Rui Miao, Ying Wang, Shirui Pan, Xin Wang
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark. CoRR (2024)
Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu, Shirui Pan, Bo Du
Hi-GMAE: Hierarchical Graph Masked Autoencoders. CoRR (2024)
Kun Li, Xiuwen Gong, Shirui Pan, Jia Wu, Bo Du, Wenbin Hu
Regressor-free Molecule Generation to Support Drug Response Prediction. CoRR (2024)
Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan
Online GNN Evaluation Under Test-time Graph Distribution Shifts. ICLR (2024)
He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Chengqi Zhang, Shirui Pan
Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks. CoRR (2024)
Luzhi Wang, Yizhen Zheng, Di Jin, Fuyi Li, Yongliang Qiao, Shirui Pan
Contrastive Graph Similarity Networks. ACM Trans. Web 18 (2) (2024)
Weixin Bu, Xiaofeng Cao, Yizhen Zheng, Shirui Pan
Improving Augmentation Consistency for Graph Contrastive Learning. Pattern Recognit. 148 (2024)
Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu
Gradformer: Graph Transformer with Exponential Decay. CoRR (2024)
Xin Liu, Yuxiang Zhang, Meng Wu, Mingyu Yan, Kun He, Wei Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack. CoRR (2024)
Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
Foundation Models for Time Series Analysis: A Tutorial and Survey. CoRR (2024)
He Zhang, Xingliang Yuan, Shirui Pan
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks. ICDE (2024)
Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua
GOODAT: Towards Test-time Graph Out-of-Distribution Detection. CoRR (2024)
Jiapu Wang, Kai Sun, Linhao Luo, Wei Wei, Yongli Hu, Alan Wee-Chung Liew, Shirui Pan, Baocai Yin
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning. CoRR (2024)
Zhaopeng Peng, Xiaoliang Fan, Yufan Chen, Zheng Wang, Shirui Pan, Chenglu Wen, Ruisheng Zhang, Cheng Wang
FedPFT: Federated Proxy Fine-Tuning of Foundation Models. CoRR (2024)
Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation. AAAI (2024)
Xuelian Ni, Fei Xiong, Shirui Pan, Jia Wu, Liang Wang, Hongshu Chen
Community Preserving Social Recommendation with Cyclic Transfer Learning. ACM Trans. Inf. Syst. 42 (3) (2024)
Xiao Zhang, Peng Bao, Shirui Pan
Maximizing Malicious Influence in Node Injection Attack. WSDM (2024)
Xiao Shen, Dewang Sun, Shirui Pan, Xi Zhou, Laurence T. Yang
Neighbor Contrastive Learning on Learnable Graph Augmentation. AAAI (2023)
Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shirui Pan, Kok-Leong Ong, Jun Zhang, Yang Xiang
Client-side Gradient Inversion Against Federated Learning from Poisoning. CoRR (2023)
Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan
The 3rd International Workshop on Machine Learning on Graphs (MLoG). WSDM (2023)
Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan
A survey on fairness-aware recommender systems. Inf. Fusion 100 (2023)
Zicheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong
Towards Few-Shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-Guided Neural Process Approach. ECML/PKDD (3) (2023)
Ghazaleh Niknam, Soheila Molaei, Hadi Zare, David Clifton, Shirui Pan
Graph representation learning based on deep generative gaussian mixture models. Neurocomputing 523 (2023)
Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion. CoRR (2023)
Dongran Yu, Xueyan Liu, Shirui Pan, Anchen Li, Bo Yang
A Novel Neural-symbolic System under Statistical Relational Learning. CoRR (2023)
Yuxi Wei, Juntong Peng, Tong He, Chenxin Xu, Jian Zhang, Shirui Pan, Siheng Chen
Compatible Transformer for Irregularly Sampled Multivariate Time Series. CoRR (2023)
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Fuyi Li, Xudong Guo, Yue Bi, Runchang Jia, Miranda E. Pitt, Shirui Pan, Shuqin Li, Robin B. Gasser, Lachlan J. M. Coin, Jiangning Song
Digerati - A multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins. Comput. Biol. Medicine 163 (2023)
Bo Xiong, Mojtaba Nayyeri, Ming Jin, Yunjie He, Michael Cochez, Shirui Pan, Steffen Staab
Geometric Relational Embeddings: A Survey. CoRR (2023)
Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan
xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. CoRR (2023)
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Mahsa Salehi
CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection. CoRR (2023)
Ming Jin, Guangsi Shi, Yuan-Fang Li, Qingsong Wen, Bo Xiong, Tian Zhou, Shirui Pan
How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting? CoRR (2023)
Yang Liu, Chuan Zhou, Shirui Pan, Jia Wu, Zhao Li, Hongyang Chen, Peng Zhang
CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. WWW (2023)
He Zhang, Xingliang Yuan, Quoc Viet Hung Nguyen, Shirui Pan
On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks. CoRR (2023)
Jiapu Wang, Boyue Wang, Meikang Qiu, Shirui Pan, Bo Xiong, Heng Liu, Linhao Luo, Tengfei Liu, Yongli Hu, Baocai Yin, Wen Gao
A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects. CoRR (2023)
Linhao Luo, Yumeng Li, Buyu Gao, Shuai Tang, Sinan Wang, Jiancheng Li, Tanchao Zhu, Jiancai Liu, Zhao Li, Shirui Pan
MAMDR: A Model Agnostic Learning Framework for Multi-Domain Recommendation. ICDE (2023)
Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. ICDM (2023)
Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, Xindong Wu
Unifying Large Language Models and Knowledge Graphs: A Roadmap. CoRR (2023)
Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. AAAI (2023)
Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR (2023)
Zhangchi Qiu, Ye Tao, Shirui Pan, Alan Wee-Chung Liew
Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems. CoRR (2023)
Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. CoRR (2023)

Shirui Pan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Shirui Pan