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Core Methods

51,083 papers (8 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
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Papers (including subtopics)

Graphemes vs. phonemes: battling it out in character-based language models CoNLL 2024 Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution NeurIPS 2024 Graph fission and cross-validation AISTATS 2024 Graph Generation with Diffusion Mixture ICML 2024 Graph Geometry-Preserving Autoencoders ICML 2024 Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data JMLR 2024 Graphical Multioutput Gaussian Process with Attention ICLR 2024 Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders NAACL 2024 Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization AAAI 2024 Graph Language Models ACL 2024 Graph Learning for Numeric Planning NeurIPS 2024 Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs AAAI 2024 Graph Machine Learning through the Lens of Bilevel Optimization AISTATS 2024 GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs NeurIPS 2024 Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series NeurIPS 2024 Graph Neural Networks and Arithmetic Circuits NeurIPS 2024 Graph neural networks and non-commuting operators NeurIPS 2024 Graph Neural Networks Do Not Always Oversmooth NeurIPS 2024 Graph Neural Networks for Learning Equivariant Representations of Neural Networks ICLR 2024 Graph Neural Networks Need Cluster-Normalize-Activate Modules NeurIPS 2024 Graph Neural Networks with a Distribution of Parametrized Graphs ICML 2024 Graph Neural Networks (with Proper Weights) Can Escape Oversmoothing ACML 2024 Graph Neural Networks with Soft Association between Topology and Attribute AAAI 2024 Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification ICML 2024 Graph Parsing Networks ICLR 2024