Latest Research in Graph Topology Learning

Top Research Topics in Graph Topology Learning

• Machine Learning — 111 papers
• Advanced Graph Neural Networks — 22 papers
• Social and Information Networks — 21 papers
• Machine Learning — 12 papers
• Artificial Intelligence — 12 papers
• Complex Network Analysis Techniques — 10 papers
• Physics and Society — 8 papers
• Face and Expression Recognition — 7 papers
• Methodology — 6 papers
• Statistics Theory — 6 papers

Highest-Cited Papers

1. The Cosine Drainage Theorem: A Rank-One Proof and a Cross-Family Conjecture for Embedded Non-Regular Graphs (5 citations)
2. MOUFLON: multi-group modularity-based fairness-aware community detection (1 citations)
3. On the Minimization of Graph Counterfactual Explanations: Theory and a Local Bounded Search Algorithm
4. Incremental Graph Construction Enables Robust Spectral Clustering of Texts
5. HierX: Fast multi-scale distance-decay interaction on million-node networks
6. A heuristic graph editing approach to correlation clustering with overlap
7. SCGFM-ART: Amortized Relational Transport for Structure-Centric Graph Foundation Models
8. Noise-adjusted turnover in estimated networks
9. Reinforcement Learning for Graph Generation under a Hard Assortativity Constraint
10. Exact Greedy Influence Maximization in Linear Time on Bounded-Treewidth Graphs
11. Link prediction in complex networks via fusing node centrality and local similarity indices
12. Key Node Identification in Spatial Information Networks via Soft Community Partition and Hypergraph Interweaving Degree
13. High-order enhanced multi-view subspace clustering via dual norm and manifold constraints
14. Not All Nodes Are Created Equal: Homophily-Aware Stratification for Stable GNN Evaluation
15. Iterative Exploration-Driven Sparse SDP Clustering via Thompson Sampling
16. Universal NP-Hardness of Clustering under General Utilities
17. FoundAna: A GNN-assisted Foundation Model for Graph Anomaly Detection
18. Revisiting the Objective of Echo Chamber Detection
19. Stable Filters for Generative Modeling of Graph Signals
20. Randomized SVD Approximations for Spectral Co-Clustering of Word-Document Matrices

Sub-Regions

• Face and Expression Recognition — 58 papers
• Advanced Graph Neural Networks — 38 papers
• Graph Theory and Algorithms — 34 papers
• Artificial Intelligence — 33 papers
• Machine Learning — 28 papers
• Social and Information Networks — 18 papers