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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)

Graph Matching with Bi-level Noisy Correspondence ICCV 2023 Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding EMNLP 2023 Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling NeurIPS 2023 GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search NeurIPS 2023 Graph Neural Convection-Diffusion with Heterophily IJCAI 2023 Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs ICLR 2023 Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure ICML 2023 Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis NeurIPS 2023 Graph Neural Networks with Learnable and Optimal Polynomial Bases ICML 2023 Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract) AAAI 2023 Graph Ordering Attention Networks AAAI 2023 GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation NeurIPS 2023 Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities IJCAI 2023 Graph Positional Encoding via Random Feature Propagation ICML 2023 Graph Reinforcement Learning for Network Control via Bi-Level Optimization ICML 2023 Graph Representation for Order-Aware Visual Transformation CVPR 2023 Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution ICLR 2023 Graph Spectral Embedding using the Geodesic Betweenness Centrality AISTATS 2023 Graph Structure Learning on User Mobility Data for Social Relationship Inference AAAI 2023 Graph Switching Dynamical Systems ICML 2023 Graph Transformer GANs for Graph-Constrained House Generation CVPR 2023 Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue EMNLP 2023 GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks AAAI 2023 Grassmann Manifold Flows for Stable Shape Generation NeurIPS 2023 GREAD: Graph Neural Reaction-Diffusion Networks ICML 2023