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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-based Fake News Detection using a Summarization Technique EACL 2021 Graph-Based High-Order Relation Discovery for Fine-Grained Recognition CVPR 2021 Graph-Based Label Propagation for Semi-Supervised Speaker Identification Interspeech 2021 Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model AISTATS 2021 Graph Constrained Data Representation Learning for Human Motion Segmentation ICCV 2021 Graph Contrastive Clustering ICCV 2021 Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures NAACL 2021 Graph Convolutional Networks with Multi-headed Attention for Code-Mixed Sentiment Analysis EACL 2021 Graph Convolution with Low-rank Learnable Local Filters ICLR 2021 Graph Debiased Contrastive Learning with Joint Representation Clustering IJCAI 2021 Graph Deformer Network IJCAI 2021 GraphDF: A Discrete Flow Model for Molecular Graph Generation ICML 2021 Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation AAAI 2021 Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification NAACL 2021 Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks IJCAI 2021 Graph Filter-based Multi-view Attributed Graph Clustering IJCAI 2021 GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph NeurIPS 2021 GraphFPN: Graph Feature Pyramid Network for Object Detection ICCV 2021 Graph-Free Knowledge Distillation for Graph Neural Networks IJCAI 2021 Graph Game Embedding AAAI 2021 Graph Heterogeneous Multi-Relational Recommendation AAAI 2021 Graphical Models in Heavy-Tailed Markets NeurIPS 2021 Graphical Normalizing Flows AISTATS 2021 Graph Information Bottleneck for Subgraph Recognition ICLR 2021 Graph Learning for Inverse Landscape Genetics AAAI 2021