Latest Research in Artificial Intelligence

Top Research Topics in Artificial Intelligence

• Machine Learning — 22 papers
• Social and Information Networks — 3 papers
• Artificial Intelligence — 3 papers
• Advanced Graph Neural Networks — 3 papers
• Information Theory — 1 papers
• Computation and Language — 1 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. Reinforcement Learning for Graph Generation under a Hard Assortativity Constraint
3. Not All Nodes Are Created Equal: Homophily-Aware Stratification for Stable GNN Evaluation
4. Repurposing Unified Topological Signatures for Graph Representation Learning
5. Geometric Flow enhanced Graph Coarsening
6. HERALD: High-Fidelity Exemplar Retrieval with Adaptive Landmark Distillation for Heterophily-Aware Graph Condensation
7. Instance-Aware Algorithm Selection for Maximum Clique via a Dual-Channel Graph Neural Architecture
8. Effects of relational graph modularity and depth on the learning performance of neural networks
9. HOPE: Heterophily-Aware Open-Set Node Classification with Pseudo-Extrapolation
10. Temporal Memory-Aware Online Test-Time Adaptation on Dynamic Graphs
11. Not Just Oversmoothing: Detecting the Echo Chamber Effect in Graph Neural Networks
12. Polarity-Asymmetric Structural Calibration for Link Sign Prediction
13. Budgeted Task-Aware Acquisition of Dynamic Networks
14. A dictionary learning framework for graphs via filters and optimal transport
15. Scaling Bayesian Bandit Encoding with Shared Learning
16. Learning Subgroup Relations Using Siamese Graph Neural Networks
17. SAC-Net: Structure-Aware Collaborative Network for Graph Similarity Computation
18. LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN
19. DeltaGNN: Graph Neural Network with Information Flow Control
20. Learning Subgroup Relations Using Siamese Graph Neural Networks