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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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'25

Papers (including subtopics)

GraphI2P: Image-to-Point Cloud Registration with Exploring Pattern of Correspondence via Graph Learning CVPR 2025 Graphically Speaking: Unmasking Abuse in Social Media with Conversation Insights ACL 2025 GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design NAACL 2025 Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects AISTATS 2025 Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection AAAI 2025 GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts AAAI 2025 Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models NAACL 2025 Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective ICLR 2025 Graph Neural Networks Can (Often) Count Substructures ICLR 2025 Graph Neural Networks for Databases: A Survey IJCAI 2025 Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance ICLR 2025 Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs ACL 2025 GraphOTTER: Evolving LLM-based Graph Reasoning for Complex Table Question Answering COLING 2025 GraphRAG Analysis for Financial Narrative Summarization and A Framework for Optimizing Domain Adaptation COLING 2025 Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method IJCAI 2025 Graph Sparsification via Mixture of Graphs ICLR 2025 Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales AAAI 2025 GraphTranslate: Predicting Clinical Trial Translation using Graph Neural Networks on Biomedical Literature ACL 2025 GraSP: Simple Yet Effective Graph Similarity Predictions AAAI 2025 Gridded Transformer Neural Processes for Spatio-Temporal Data ICML 2025 Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks AAAI 2025 gRNAde: Geometric Deep Learning for 3D RNA inverse design ICLR 2025 GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models ACL 2025 GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers ICML 2025 Grokking at the Edge of Linear Separability ICML 2025