Demo Data from EDBT 2026 / reviewers in the wild / expert
Qiguo Sun
dblp:256/4172
· DBLP profile ↗
8ranked-venue papers
1as first author
8since 2021 · last 2026
0000-0002-8480-3075ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 6 · 1 first-author · 6 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Trustworthy machine learning · 75% Graph learning · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning › fairness
fair graph learning |
1.0 | 1 | 2026 | Topology matters: achieving fairness in graph neural networks through heterophily propagation · Sci. China Inf. Sci. 2026 |
Machine learning › Trustworthy machine learning › fairness › fair graph learning
fair graph neural network |
1.0 | 1 | 2026 | Topology matters: achieving fairness in graph neural networks through heterophily propagation · Sci. China Inf. Sci. 2026 |
Machine learning › Trustworthy machine learning
fairness |
1.0 | 1 | 2026 | Topology matters: achieving fairness in graph neural networks through heterophily propagation · Sci. China Inf. Sci. 2026 |
Machine learning › Graph learning
graph neural network |
1.0 | 1 | 2026 | Topology matters: achieving fairness in graph neural networks through heterophily propagation · Sci. China Inf. Sci. 2026 |
Methods — techniques the papers use, named apart from their topics
heterophily propagation · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Topology matters: achieving fairness in graph neural networks through heterophily propagation
Yuge Wang, Xibei Yang, Qiguo Sun, Weiping Ding 0001 |
Sci. China Inf. Sci. | 4 |
| 2026 | Hierarchical decoupling from global-to-structural dependency for unsupervised graph representation learning on noisy graphs
Qihang Guo, Wenrui Guan, Xibei Yang, Qiguo Sun |
Knowl. Based Syst. | 5 |
| 2026 | VQIT-GNN: A collaborative knowledge transfer for node-level structure imbalance
Wenrui Guan, Xibei Yang, Ming Li 0065, Qihang Guo, Qiguo Sun |
Pattern Recognit. | 6 |
| 2026 | Modular effective resistance-guided multi-scale graph representation learning
Yutong Guo, Qiguo Sun, Xibei Yang |
Pattern Recognit. Lett. | 2 |
| 2024 | Multi-head multi-order graph attention networks
Jie Ben, Qiguo Sun, Xibei Yang, Fengjun Zhang |
Appl. Intell. | 2 |
| 2024 | GraphSAGE with deep reinforcement learning for financial portfolio optimization
Qiguo Sun, Xueying Wei, Xibei Yang |
Expert Syst. Appl. | 1 |
| 2024 | Purity Skeleton Dynamic Hypergraph Neural Network
Yuge Wang, Xibei Yang, Qiguo Sun, Qihang Guo |
Neurocomputing | 3 |
| 2024 | Enhancing graph convolutional networks with progressive granular ball sampling fusion: A novel approach to efficient and accurate GCN training
Hui Cong, Qiguo Sun, Xibei Yang |
Inf. Sci. | 2 |