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

Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data AAAI 2020 Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering AAAI 2020 Graph-based Syntactic Word Embeddings COLING 2020 Graph Coarsening with Preserved Spectral Properties AISTATS 2020 Graph Contrastive Learning with Augmentations NeurIPS 2020 Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection AAAI 2020 Graph Convolutional Reinforcement Learning ICLR 2020 Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling EMNLP 2020 Graph Cross Networks with Vertex Infomax Pooling NeurIPS 2020 GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems EMNLP 2020 Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering AISTATS 2020 Graph Embedded Pose Clustering for Anomaly Detection CVPR 2020 Graph Enhanced Dual Attention Network for Document-Level Relation Extraction COLING 2020 GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks AAAI 2020 Graph Filtration Learning ICML 2020 GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension IJCAI 2020 Graph Geometry Interaction Learning NeurIPS 2020 Graph-Hist: Graph Classification from Latent Feature Histograms with Application to Bot Detection AAAI 2020 Graph Homomorphism Convolution ICML 2020 Graphical continuous Lyapunov models UAI 2020 Graph Information Bottleneck NeurIPS 2020 Graph LSTM with Context-Gated Mechanism for Spoken Language Understanding AAAI 2020 Graph Neural Architecture Search IJCAI 2020 Graph Neural Networks Exponentially Lose Expressive Power for Node Classification ICLR 2020 Graph Neural News Recommendation with Unsupervised Preference Disentanglement ACL 2020