Leaderboards/Advanced Graph Neural Networks

Advanced Graph Neural Networks

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Yixin Liu
Griffith University
2
Chen Gao
Alibaba Group (China)
3
Yuhao Yang
Vanguard University
4
Yunsheng Shi
Baidu (China)
5
Yutao Huang
Simon Fraser University
6
Ciyuan Peng
Federation University
7
Deyu Bo
Beijing University of Posts and Telecommunications
8
Jianxin Chang
Beijing Haidian Hospital
9
Hao Yuan
Beijing University of Posts and Telecommunications
10
Shijie Geng
Rutgers, The State University of New Jersey

Rising Stars Papers

1
Large language models empowered agent-based modeling and simulation: a survey and perspectives
Humanities and Social Sciences Communications|2024
197 cit.
2
Causal Inference in Recommender Systems: A Survey and Future Directions
ACM Transactions on Information Systems|2024
109 cit.
3
GraphPro: Graph Pre-training and Prompt Learning for Recommendation
Unknown Journal|2024
24 cit.
4
Integrating Graphs With Large Language Models: Methods and Prospects
IEEE Intelligent Systems|2024
23 cit.
5
Prediction of soil thermal conductivity using individual and ensemble machine learning models
Journal of Thermal Analysis and Calorimetry|2024
14 cit.
6
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
Unknown Journal|2024
10 cit.
7
mBGT: Encoding Brain Signals With Multimodal Brain Graph Transformer
IEEE Transactions on Consumer Electronics|2024
9 cit.
8
Stage-aware Brain Graph Learning for Alzheimer’s Disease
Unknown Journal|2024
7 cit.
9
Wasserstein Distance- EEMD Enhanced Multi-Head Graph Attention Network for Rolling Bearing Fault Diagnosis Under Different Working Conditions
Eksploatacja i Niezawodnosc - Maintenance and Reliability|2024
6 cit.
10
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise
Proceedings of the AAAI Conference on Artificial Intelligence|2024
6 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Dawei Yin
Baidu (China)
2
Jiliang Tang
Guangxi University
3
Hongzhi Yin
Queensland University of Technology
4
Huaiyu Wan
Beijing Jiaotong University
5
Stephan Günnemann
Technical University of Munich
6
Shirui Pan
Griffith University
7
Caiming Xiong
Salesforce (United States)
8
Xuelong Li
China Telecom (China)
9
Xiuqiang He
Shenzhen Technology University
10
Ping Li
Shanghai Electric (China)

Emerging Leaders Papers

1
Unifying Large Language Models and Knowledge Graphs: A Roadmap
IEEE Transactions on Knowledge and Data Engineering|2024
954 cit.
2
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence|2024
406 cit.
3
Intent Contrastive Learning for Sequential Recommendation
Proceedings of the ACM Web Conference 2022|2022
374 cit.
4
GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting
Unknown Journal|2024
284 cit.
5
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
IEEE Transactions on Knowledge and Data Engineering|2023
269 cit.
6
Trustworthy AI: A Computational Perspective
ACM Transactions on Intelligent Systems and Technology|2022
221 cit.
7
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
IEEE Transactions on Pattern Analysis and Machine Intelligence|2024
209 cit.
8
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining|2022
199 cit.
9
Towards Unsupervised Deep Graph Structure Learning
Proceedings of the ACM Web Conference 2022|2022
195 cit.
10
A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks
IEEE Transactions on Cybernetics|2022
179 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Philip S. Yu
University of Illinois Chicago
2
Gabriele Monfardini
Politecnico di Milano
3
Wenwu Zhu
Hefei Meiling (China)
4
Pierre Vandergheynst
École Polytechnique Fédérale de Lausanne
5
Meng Wang
Hefei University of Technology
6
Jure Leskovec
Stanford University
7
Jiawei Han
Zhengzhou University
8
Tat‐Seng Chua
National University of Singapore
9
Christos Faloutsos
University of Toronto
10
Jon Kleinberg
Cornell University

Current Senior Leaders Papers

1
Data mining: concepts and techniques
Choice Reviews Online|2012
28.9k cit.
2
node2vec
Unknown Journal|2016
10.9k cit.
3
The Graph Neural Network Model
IEEE Transactions on Neural Networks|2008
9.3k cit.
4
Authoritative sources in a hyperlinked environment
Journal of the ACM|1999
9.1k cit.
5
Mining frequent patterns without candidate generation
ACM SIGMOD Record|2000
6.4k cit.
6
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
IEEE Signal Processing Magazine|2013
4.4k cit.
7
On power-law relationships of the Internet topology
Unknown Journal|1999
4.3k cit.
8
LightGCN
Unknown Journal|2020
4.1k cit.
9
Geometric Deep Learning: Going beyond Euclidean data
IEEE Signal Processing Magazine|2017
3.6k cit.
10
NUS-WIDE
Unknown Journal|2009
3k cit.

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