Latest Research in Machine Learning
28 research papers · 2026 median publication year
Top Research Topics in Machine Learning
- Machine Learning — 12 papers
- Machine Learning — 2 papers
- Social and Information Networks — 2 papers
- Econometrics — 1 papers
- Artificial Intelligence — 1 papers
- Computation — 1 papers
- Combinatorics — 1 papers
- Educational Technology and Assessment — 1 papers
- Network Time Synchronization Technologies — 1 papers
- Physics and Society — 1 papers
Highest-Cited Papers
- EdgeReMIND: A Scalable, Top-Ranked Memorization Baseline for Temporal Multi-Relational Link Prediction
- Optimal Transport for Network Comparison: A Unified Review with New Spectral Bounds and Machine Learning Applications
- Dynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks
- Hierarchical Clustering Can Jointly Satisfy Richness, Consistency, and Scale Invariance
- Recovering Unobserved Network Links from Aggregated Relational Data: Bayesian Latent Surface Modeling and Penalized Regression
- SynCo: Synthetic Community-Aware Attributed Graph Generator for Graph Neural Network Benchmarking
- TTGBench: Benchmarking Topological Evolution and Semantic Drift in Text-attributed Temporal Graphs
- Tensor Network Moral Graph Recovery of Discrete Probability Distributions
- nethist: An R package for Nonparametric Graphon Estimation via Network Histograms
- Spectral properties of the resistance Laplacian with applications to data clustering and anomaly detection
- Multi-granularity Adaptive Hypergraph Representation Learning via Granular-ball
- Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
- Optimization of geometric hypergraph embedding
- Efficient Learning of Balanced Signed Graphs via Sparse Linear Programming
- C3: An Ultra-Lightweight, Self-Healing Time-Series Compression Algorithm for Resource-Constrained Embedded Telemetry.
- Detecting Hierarchical Clusters and Estimating their Modularity Directly from Dendrograms
- A 75/61 Upper Bound on the Universal Price of Three-Arm Gaussian Best-Arm Identification
- Regularized Coupling Maps on Matrix Polytopes: From Assignment to Graph Matching and Optimal Transport
- Unlearning on Spatio-Temporal Graphs through Subgraph Virtual Edge Reconstruction
- Cone Extended Rayleigh Quotients for Directed Graph Learning: Minimax Spectral Certificates, Sensitivity, and Adaptive Control