Latest Research in Graph Theory and Algorithms

Top Research Topics in Graph Theory and Algorithms

• Graph Theory and Algorithms — 3 papers
• Methodology — 3 papers
• Physics and Society — 3 papers
• Advanced Graph Neural Networks — 3 papers
• Machine Learning — 3 papers
• Computational Geometry — 3 papers
• Machine Learning — 2 papers
• Statistics Theory — 2 papers
• Signal Processing — 2 papers
• Applications — 2 papers

Highest-Cited Papers

1. A heuristic graph editing approach to correlation clustering with overlap
2. Noise-adjusted turnover in estimated networks
3. Link prediction in complex networks via fusing node centrality and local similarity indices
4. Universal NP-Hardness of Clustering under General Utilities
5. Revisiting the Objective of Echo Chamber Detection
6. Multiscale Localized Inference for Networks with a Measured Vertex Coordinate
7. Multiscale Reconstruction of Multiplex Networks with Higher-Order Interactions
8. Spectral Dynamics of DeepWalk Embeddings for Dynamic Network Change-Point Detection
9. Penalized Maximum Likelihood Inference of Core-Periphery Networks
10. Tight Sampling Complexity with stochastic gradient oracles in Fixed Dimensions
11. Learning the Topology of a Simplicial Complex Using Noisy Simplicial Signals
12. Exact Bayesian Tracking of Dynamic Network Topologies
13. Dynamic Latent Space Modeling of Inhomogeneous Poisson Network Processes with Applications to International Relations
14. Dual-Weighted Neighborhood Rough Sets for Minimal Winning Coalition Discovery in Online Social Networks
15. Neural Probabilistic Relational Games (N-PRG): Learning Influence Coalitions from Cascade Data via Gradient Descent
16. Robustness of shallow graph embedding methods for community detection
17. Graph Canonical Coherence Analysis
18. CAST: Canonical Approximate Schur Tree for Approximate Cholesky on Graphs
19. Non-Adaptive 1-Bit Mean Estimation: Minimax Rates and the Sample-Interval Tradeoff
20. A Sub-4 Approximation for Fair $k$-Means