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Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
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Shumin Deng
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Ranked List Loss for Deep Metric Learning
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A general framework for information extraction using dynamic span graphs
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FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
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Entity, Relation, and Event Extraction with Contextualized Span Representations
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2019
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Random Features Strengthen Graph Neural Networks
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Revisiting Unsupervised Relation Extraction
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A Survey on Knowledge Graph-Based Recommender Systems
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Unsupervised Open Relation Extraction
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SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction
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GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation
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Multidimensional analysis of excitonic spectra of monolayers of tungsten disulphide: toward computer-aided identification of structural and environmental perturbations of 2D materials
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DeepGG: A Deep Graph Generator
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2021
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True Few-Shot Learning with Language Models
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A Frustratingly Easy Approach for Entity and Relation Extraction
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Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model
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Element Intervention for Open Relation Extraction
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The Surprising Power of Graph Neural Networks with Random Node Initialization
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KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
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2022
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Xiang Chen
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A Relation-Oriented Clustering Method for Open Relation Extraction
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2021
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Zero-shot Relation Classification from Side Information
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2021
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EPPAC: Entity Pre-typing Relation Classification with Prompt AnswerCentralizing
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2022
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GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
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On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
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2022
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DeepDPM: Deep Clustering With an Unknown Number of Clusters
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Emergence of Scaling in Random Networks
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