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Knowledge Graphs

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하위 태스크: 5
평가표: 4
보존된 평가 기록: 19

A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/PaddlePaddle/Research/tree/master/KG/ACL2021_GRAN

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Link Prediction on N-ary Relational Facts: A Graph-based Approach

https://github.com/PaddlePaddle/Research/tree/master/NLP/EMNLP2019-AKGCM

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Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs

https://github.com/Panda0406/Zero-shot-knowledge-graph-relational-learning

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Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs

https://github.com/PascalSun/TimelineKGQA

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TimelineKGQA: A Comprehensive Question-Answer Pair Generator for Temporal Knowledge Graphs

https://github.com/Pascalson/DyKGChat

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DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs

https://github.com/Peter7Yao/OPTransE

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Representation Learning with Ordered Relation Paths for Knowledge Graph Completion

https://github.com/PhilippChr/CLOCQ

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Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases

https://github.com/PhilippChr/CONVEX

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Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion

https://github.com/PlusRoss/Hy-Transformer

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Improving Hyper-Relational Knowledge Graph Completion

https://github.com/PrekshaNema25/Answerability-Metric

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Towards a Better Metric for Evaluating Question Generation Systems

https://github.com/PrzemyslawStok/ssakg

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Associative Knowledge Graphs for Efficient Sequence Storage and Retrieval

https://github.com/Pzoom522/ProcrustEs-KGE

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Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis

https://github.com/QingkaiZeng/GenTaxo

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Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations

https://github.com/QipengGuo/CycleGT

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CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training

https://github.com/Quadflor/quadflor

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Using Titles vs. Full-text as Source for Automated Semantic Document Annotation

https://github.com/RManLuo/CP-GNN

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Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model

https://github.com/RManLuo/gfm-rag

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GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation

https://github.com/RManLuo/graph-constrained-reasoning

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Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models

https://github.com/RUCAIBox/UPGAN

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Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning

https://github.com/RoyZhengGao/edge2vec

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edge2vec: Representation learning using edge semantics for biomedical knowledge discovery

https://github.com/SDM-TIB/Falcon2.0

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Falcon 2.0: An Entity and Relation Linking Tool over Wikidata

https://github.com/SDM-TIB/SDM-RDFizer

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EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines

https://github.com/SerhadS/TechNet

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TechNet: Technology Semantic Network Based on Patent Data

https://github.com/SmartDataAnalytics/KG-Copy_Network

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Using a KG-Copy Network for Non-Goal Oriented Dialogues

https://github.com/SmartDataAnalytics/LiteralE

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Incorporating Literals into Knowledge Graph Embeddings

https://github.com/SmartDataAnalytics/kgirnet

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Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers

https://github.com/SoyeonTiffanyMin/TransINT

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TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces

https://github.com/Srinivas-R/AKBC-2017-Paper-14

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Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs

https://github.com/StephanieWyt/HGCN-JE-JR

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Jointly Learning Entity and Relation Representations for Entity Alignment

https://github.com/StephanieWyt/NMN

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Neighborhood Matching Network for Entity Alignment

https://github.com/StephanieWyt/RDGCN

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Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs

https://github.com/THU-KEG/KEPLER

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KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

https://github.com/THUDM/CogKR

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Cognitive Knowledge Graph Reasoning for One-shot Relational Learning

https://github.com/THUDM/SelfKG

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A Self-supervised Method for Entity Alignment

https://github.com/THUIR/RuleRec

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Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

https://github.com/TYZY89/EMGF

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Extensible Multi-Granularity Fusion Network for Aspect-based Sentiment Analysis

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