Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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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/krantirk/CycleGT
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training
https://github.com/lamm-mit/pdf2audio
SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning
https://github.com/lars-research/3d-pgt
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
https://github.com/lars-research/red-gnn
https://github.com/laurendelong21/mars
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs
https://github.com/leloykun/mmfm-challenge
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
https://github.com/lhrlab/dhge
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing
https://github.com/liseda-lab/KGE_Predictions_GD
Predicting Gene-Disease Associations with Knowledge Graph Embeddings over Multiple Ontologies
https://github.com/liyichen-cly/MMEA
https://github.com/liyichen-cly/MSNEA
https://github.com/lizli502/sse-pt
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
https://github.com/logic-reasoning/Paper-Reading
https://github.com/mainuliitkgp/KG-ALSC
https://github.com/mali-git/CSQA_Implementation
https://github.com/mandiehyewon/TPAMTL
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
https://github.com/masakicktashiro/rgcn_pytorch_implementation
https://github.com/matlabmtl/Reco-KGNN-LS
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
https://github.com/miaomiao924/DEKGCI
https://github.com/microsoft/HittER
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
https://github.com/microsoft/kear
Fusing Context Into Knowledge Graph for Commonsense Question Answering
https://github.com/migalkin/NodePiece/tree/main/ogb
https://github.com/mindspore-ai/models/tree/master/research/nlp/rotate
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/mlwin-de/MDE
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs
https://github.com/mlwin-de/MDE_adv
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs
https://github.com/mnick/holographic-embeddings
https://github.com/mnick/scikit-kge
https://github.com/mniepert/mmkb
Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs
https://github.com/muhanzhang/IGMC
https://github.com/muhanzhang/IGPL
https://github.com/muhaochen/MTransE
Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment
https://github.com/muhaochen/MTransE-tf
Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment
https://github.com/nalexai/hyperlib
https://github.com/nec-research/dccg
https://github.com/ngl567/RPJE
Rule-Guided Compositional Representation Learning on Knowledge Graphs
https://github.com/open-finance-lab/finlora
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.