https://github.com/yihuazhu111/orthogonale
공식 코드Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding
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/yijia-xiao/know2bio
공식 코드Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical Knowledge Graphs
https://github.com/yin-gz/nary-inductive-subgraph
공식 코드Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
https://github.com/yinghy18/cortex
공식 코드https://github.com/yizhilll/transher
공식 코드TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction
https://github.com/ykzhang721/COG
공식 코드https://github.com/yohanjo/kenli
공식 코드Knowledge-Enhanced Evidence Retrieval for Counterargument Generation
https://github.com/ys-feng/DemoGraph
공식 코드Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
https://github.com/ysh-1998/csrec
공식 코드Common Sense Enhanced Knowledge-based Recommendation with Large Language Model
https://github.com/ysh-1998/lrd
공식 코드Sequential Recommendation with Latent Relations based on Large Language Model
https://github.com/ysunbp/taxoglimpse
공식 코드https://github.com/ysyushi/HyperMine
공식 코드https://github.com/yuanyehome/palt
공식 코드PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion
https://github.com/yuchengz99/trix
공식 코드TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs
https://github.com/yueqing-sun/jointlk
공식 코드https://github.com/yueyu1030/SumGNN
공식 코드SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization
https://github.com/yuh-yang/kgcl-sigir22
공식 코드https://github.com/yuhebai/sem-kge
공식 코드A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings
https://github.com/yukw777/temporal-discrete-graph-updater
공식 코드Constructing Temporal Dynamic Knowledge Graphs from Interactive Text-based Games
https://github.com/yunchengwang/greenkgc
공식 코드https://github.com/yur7nd/ptss
공식 코드Repurposing Knowledge Graph Embeddings for Triple Representation via Weak Supervision
https://github.com/yushuowiki/k-half
공식 코드HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs
https://github.com/yuwang-1024/dskreg
공식 코드DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN
https://github.com/yy-ko/khan-www23
공식 코드KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction
https://github.com/zdh2292390/ParTrans-X
공식 코드Efficient Parallel Translating Embedding For Knowledge Graphs
https://github.com/zehong-wang/awesome-foundation-models-on-graphs
공식 코드https://github.com/zhangtia16/licap
공식 코드Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs
https://github.com/zhaoshuyuan0246/stkdrec
공식 코드STKDRec: Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
https://github.com/zhenjia2017/exaqt
공식 코드https://github.com/zhi520/nc-kge
공식 코드Node-based Knowledge Graph Contrastive Learning for Medical Relationship Prediction
https://github.com/zhiqix/nl2gql
공식 코드$R^3$-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL
https://github.com/zhiweihu1103/et-mclet
공식 코드Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs
https://github.com/zhiweihu1103/et-tet
공식 코드https://github.com/zhiweihu1103/hkgc-hyperformer
공식 코드https://github.com/zhiweihu1103/qe-temp
공식 코드Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs
https://github.com/zhixiangsu/apst
공식 코드Anchoring Path for Inductive Relation Prediction in Knowledge Graphs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.