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01/25/2023
Editing Language Model-based Knowledge Graph Embeddings
Recently decades have witnessed the empirical success of framing Knowled...
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11/14/2022
On Analyzing the Role of Image for Visual-enhanced Relation Extraction
Multimodal relation extraction is an essential task for knowledge graph ...
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10/01/2022
PromptKG: A Prompt Learning Framework for Knowledge Graph Representation Learning and Application
Knowledge Graphs (KGs) often have two characteristics: heterogeneous gra...
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09/30/2022
Construction and Applications of Open Business Knowledge Graph
Business Knowledge Graph is important to many enterprises today, providi...
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07/16/2022
BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion
We utilize an offline reinforcement learning (RL) model for sequential t...
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06/08/2022
Disentangled Ontology Embedding for Zero-shot Learning
Knowledge Graph (KG) and its variant of ontology have been widely used f...
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05/22/2022
Relphormer: Relational Graph Transformer for Knowledge Graph Representation
Transformers have achieved remarkable performance in widespread fields, ...
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05/12/2022
Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction
Entity matching (EM) is the most critical step for entity resolution (ER...
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02/25/2022
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs
NeuralKG is an open-source Python-based library for diverse representati...
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02/16/2022
Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective
Knowledge Extraction (KE) which aims to extract structural information f...
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02/04/2022
From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer
Knowledge graph completion aims to address the problem of extending a KG...
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01/27/2022
Ontology-enhanced Prompt-tuning for Few-shot Learning
Few-shot Learning (FSL) is aimed to make predictions based on a limited ...
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01/17/2022
SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning
Multi-hop knowledge graph (KG) reasoning has been widely studied in rece...
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05/12/2021
Interpretable performance analysis towards offline reinforcement learning: A dataset perspective
Offline reinforcement learning (RL) has increasingly become the focus of...
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05/21/2020