Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 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/asarigun/DrugGEN
https://github.com/atcbosselut/comet-commonsense
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
https://github.com/autoliuweijie/K-BERT
K-BERT: Enabling Language Representation with Knowledge Graph
https://github.com/automl-research/red-gnn
https://github.com/awslabs/dgl-ke
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/bahuia/aqgnet
https://github.com/berlincho/RGCN-pytorch
https://github.com/bi-graph/emgraph
https://github.com/bio-ontology-research-group/EL2Box_embedding
EL Embeddings: Geometric construction of models for the Description Logic EL ++
https://github.com/bjascob/amrlib
Investigating Pretrained Language Models for Graph-to-Text Generation
https://github.com/bsantraigi/TA_TransE
Learning Sequence Encoders for Temporal Knowledge Graph Completion
https://github.com/cdhx/KBGAN_for_RotatE
https://github.com/cgraywang/deepex
https://github.com/chalothon/Graph-Convolutional-Networks-for-Relational-Link-Prediction
https://github.com/chatterjeeayan/upna
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/cheungdaven/QuatE
https://github.com/chistera4-expectation/experiments-knowledge-harvest-from-llm
BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models
https://github.com/circlemind-ai/fast-graphrag
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
https://github.com/cui0523/Code6/tree/main/rotate
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/czy1999/MultiTQ
https://github.com/czy1999/SubGTR
https://github.com/daiquocnguyen/ConvKB
https://github.com/dair-iitd/kbc-baseline
https://github.com/datquocnguyen/STransE
A survey of embedding models of entities and relationships for knowledge graph completion
https://github.com/davendw49/gakg
https://github.com/dellixx/TransERR
TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation
https://github.com/destwang/InterHT
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/dglai/wsdm2022-challenge
https://github.com/dice-group/KG-NMT
https://github.com/dm2-nd/gentaxo
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
https://github.com/dmlc/dgl
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs
https://github.com/dmlc/dgl/tree/master/examples/mxnet/rgcn
https://github.com/dmlc/dgl/tree/master/examples/pytorch/graphwriter
Text Generation from Knowledge Graphs with Graph Transformers
https://github.com/dmlc/dgl/tree/master/examples/pytorch/ogb_lsc
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
https://github.com/dmlc/dgl/tree/master/examples/pytorch/rgcn-hetero
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.