https://github.com/terwilligers/knowledge-graph-recommender
Explainable Reasoning over Knowledge Graphs for Recommendation
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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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/theblackcat102/language-models-are-knowledge-graphs-pytorch
https://github.com/thiviyanT/torch-rgcn
https://github.com/thorMax/AIPaperWriter
PaperRobot: Incremental Draft Generation of Scientific Ideas
https://github.com/thu-keg/eakit
https://github.com/tkipf/gae
https://github.com/toooooodo/rgcn-linkprediction
https://github.com/tranhungnghiep/AnalyzingKGEmbeddings
https://github.com/tranhungnghiep/MEI-KGE
https://github.com/ukplab/m-amr2text
Investigating Pretrained Language Models for Graph-to-Text Generation
https://github.com/uma-pi1/dist-kge
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
https://github.com/uma-pi1/kge-iclr20
https://github.com/uva-dsa/ems-pipeline
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
https://github.com/viethungvu1998/khgrec
Heterogeneous Hypergraph Embedding for Recommendation Systems
https://github.com/vinhsuhi/jmac
https://github.com/wangxfng/rdrec
Enhancing High-order Interaction Awareness in LLM-based Recommender Model
https://github.com/wliu88/AttentivePathRanking
https://github.com/woodcutter1998/ogb-grail-mod
https://github.com/wuliwei9278/SSE-PT
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
https://github.com/wyu97/permgen
Text Generation from Knowledge Graphs with Graph Transformers
https://github.com/xiaoyuin/tntspa
https://github.com/xiongsiheng/TEILP
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning
https://github.com/xiuyu0000/papers_with_examples/tree/main/vogue
https://github.com/xyznlp/trans
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/yakazimir/semantic_fragments
What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge
https://github.com/yangletliu/finlora
https://github.com/yangyucheng000/Papers/tree/main/MindSpore-Retrieval-augmented
https://github.com/yangyucheng000/University/tree/main/model-1/rag
RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment
https://github.com/yangyucheng000/VOGUE
https://github.com/yangyucheng000/multi-basis-encoding
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities
https://github.com/ytbai/ogbn_arxiv_dgl
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/yuyuz/Variational-Reasoning-Networks
Variational Reasoning for Question Answering with Knowledge Graph
https://github.com/z-qiyu/KGNN-LS
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
https://github.com/zehong-wang/gft
https://github.com/zhongpeixiang/ckc
https://github.com/zhuang-li/factual
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.