https://github.com/Peter7Yao/RNM
Relation-Aware Neighborhood Matching Model for Entity Alignment
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/Phoenix1327/ML-ZSL
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
https://github.com/QustKcz/relational-GCN
https://github.com/RUCAIBox/KGSF
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
https://github.com/RUCDM/KB4Rec
https://github.com/RUCDM/KB4Rec/tree/master/Projects/UPGAN
https://github.com/RichardHGL/UPGAN
https://github.com/SSE-PT/SSE-PT
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
https://github.com/STIInnsbruck/kgs
Duplication Detection in Knowledge Graphs: Literature and Tools
https://github.com/SandraSchaftner/orkg_property_extraction_using_gpt-3.5
https://github.com/SejeongPark8354/MforDrugDev
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective
https://github.com/SmartDataAnalytics/PyKEEN
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
https://github.com/SteveTANTAN/PoG
Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning
https://github.com/Sujit-O/pykg2vec
https://github.com/TaiseiAso/BiGruAttEncDec
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
https://github.com/ThomPijnenburg/Collab-Link-Prediction
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/Thomasyyj/EEEQA
EEE-QA: Exploring Effective and Efficient Question-Answer Representations
https://github.com/Tigter/ogblwikikg2-RotPro
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
https://github.com/TuftsVALT/snowcat
CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs
https://github.com/U-Alberta/kg-type-err-corr
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out
https://github.com/Userepic/KGAT-pytorch-master
https://github.com/WeiDongjunGabriel/MPSUM
https://github.com/WeidongLi-KG/KBGAN_PyTorch-v0.4.1
https://github.com/YuTesla/KGNN-LS-learn
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
https://github.com/a19hu/Social_media_export_chat
https://github.com/abhinavnagpal/KNOWLEDGE-GRAPH-PAPERS
A Review of Relational Machine Learning for Knowledge Graphs
https://github.com/adaruna3/explainable-kge
https://github.com/adymaharana/DeepPath_PyTorch
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
https://github.com/aistairc/probing_sfqa
Pretrained Transformers for Simple Question Answering over Knowledge Graphs
https://github.com/alexrenz/adaps
NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access
https://github.com/alisadeghian/DRUM
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
https://github.com/allenai/commonsense-kg-completion
Commonsense Knowledge Base Completion with Structural and Semantic Context
https://github.com/allenai/kb
https://github.com/anongekc/gekcs
A Probabilistic Framework for Knowledge Graph Data Augmentation
https://github.com/anonymous-dense-submission/DensE
https://github.com/anonymous20221001/sieg_ogb
Open Graph Benchmark: Datasets for Machine Learning on Graphs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.