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08/29/2023
When Do Program-of-Thoughts Work for Reasoning?
The reasoning capabilities of Large Language Models (LLMs) play a pivota...
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08/15/2023
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning
Knowledge Graph Embedding (KGE) has proven to be an effective approach t...
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08/14/2023
EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
Large Language Models (LLMs) usually suffer from knowledge cutoff or fal...
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05/22/2023
Editing Large Language Models: Problems, Methods, and Opportunities
Recent advancements in deep learning have precipitated the emergence of ...
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05/22/2023
Making Language Models Better Tool Learners with Execution Feedback
Tools serve as pivotal interfaces that enable humans to understand and r...
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05/15/2023
Knowledge Rumination for Pre-trained Language Models
Previous studies have revealed that vanilla pre-trained language models ...
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05/15/2023
Schema-adaptable Knowledge Graph Construction
Conventional Knowledge Graph Construction (KGC) approaches typically fol...
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05/15/2023
Continual Multimodal Knowledge Graph Construction
Multimodal Knowledge Graph Construction (MKGC) involves creating structu...
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04/28/2023
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning
Since the dynamic characteristics of knowledge graphs, many inductive kn...
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03/03/2023
Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer
Knowledge graphs (KG) are essential background knowledge providers in ma...
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02/03/2023
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs
Knowledge graphs (KGs) have become effective knowledge resources in dive...
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01/25/2023
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER
Cross-domain NER is a challenging task to address the low-resource probl...
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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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12/29/2022
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid
As an important variant of entity alignment (EA), multi-modal entity ali...
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12/19/2022
Reasoning with Language Model Prompting: A Survey
Reasoning, as an essential ability for complex problem-solving, can prov...
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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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10/23/2022
Generative Knowledge Graph Construction: A Review
Generative Knowledge Graph Construction (KGC) refers to those methods th...
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10/20/2022
Tele-Knowledge Pre-training for Fault Analysis
In this work, we share our experience on tele-knowledge pre-training for...
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10/19/2022
Schema-aware Reference as Prompt Improves Data-Efficient Relational Triple and Event Extraction
Information Extraction, which aims to extract structural relational trip...
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10/19/2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
This paper presents an empirical study to build relation extraction syst...
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10/08/2022
Relational Message Passing for Fully Inductive Knowledge Graph Completion
In knowledge graph completion (KGC), predicting triples involving emergi...
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10/01/2022
Multimodal Analogical Reasoning over Knowledge Graphs
Analogical reasoning is fundamental to human cognition and holds an impo...
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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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09/19/2022
Neural-Symbolic Entangled Framework for Complex Query Answering
Answering complex queries over knowledge graphs (KG) is an important yet...
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09/13/2022
Ruleformer: Context-aware Differentiable Rule Mining over Knowledge Graph
Rule mining is an effective approach for reasoning over knowledge graph ...
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08/19/2022
Aspect-based Sentiment Classification with Sequential Cross-modal Semantic Graph
Multi-modal aspect-based sentiment classification (MABSC) is an emerging...
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07/04/2022
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning
Zero-shot learning (ZSL) aims to predict unseen classes whose samples ha...
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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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05/29/2022
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
Prompt learning approaches have made waves in natural language processin...
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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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05/22/2022
Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce
In e-commerce, the salience of commonsense knowledge (CSK) is beneficial...
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05/10/2022
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting
We study the knowledge extrapolation problem to embed new components (i....
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05/07/2022
Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction
Multimodal named entity recognition and relation extraction (MNER and MR...
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05/04/2022
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
Multimodal Knowledge Graphs (MKGs), which organize visual-text factual k...
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05/04/2022
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning
Pre-trained language models have contributed significantly to relation e...
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04/09/2022
Contrastive Demonstration Tuning for Pre-trained Language Models
Pretrained language models can be effectively stimulated by textual prom...
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03/07/2022
Deep Reinforcement Learning for Entity Alignment
Embedding-based methods have attracted increasing attention in recent en...
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03/02/2022
PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application
In recent years, knowledge graphs have been widely applied as a uniform ...
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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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02/18/2022
Unleashing the Power of Transformer for Graphs
Despite recent successes in natural language processing and computer vis...
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02/17/2022
Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer
Machine learning, especially deep learning, has greatly advanced molecul...
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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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02/15/2022
Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective
Knowledge graph (KG) reasoning is becoming increasingly popular in both ...
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02/07/2022
Prompt-Guided Injection of Conformation to Pre-trained Protein Model
Pre-trained protein models (PTPMs) represent a protein with one fixed em...
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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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01/23/2022
OntoProtein: Protein Pretraining With Gene Ontology Embedding
Self-supervised protein language models have proved their effectiveness ...
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01/15/2022
Kformer: Knowledge Injection in Transformer Feed-Forward Layers
Knowledge-Enhanced Model have developed a diverse set of techniques for ...
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01/14/2022