https://github.com/yuhebai/sem-kge
공식 코드A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings
Papers with Code 아카이브
Knowledge Graphs
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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/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공식 코드HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs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
https://github.com/zhixiangsu/krst
공식 코드Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer
https://github.com/zhurboo/RAGA
공식 코드RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment
https://github.com/zhw12/BERTRL
공식 코드https://github.com/zifengding/fitcarl
공식 코드https://github.com/zifengding/forecasttkgqa
공식 코드https://github.com/zifengding/zrllm
공식 코드zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models
https://github.com/zihaowang/text_enhanced_kge
공식 코드Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces
https://github.com/zjs123/anot
공식 코드Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability
https://github.com/zju-daily/dualmatch
공식 코드https://github.com/zjukg/MEAformer
공식 코드MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid
https://github.com/zjukg/adamf-mat
공식 코드Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
https://github.com/zjukg/ankge
공식 코드https://github.com/zjukg/earl
공식 코드Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
https://github.com/zjukg/kg-llm-papers
공식 코드https://github.com/zjukg/kg-mm-survey
공식 코드Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
https://github.com/zjukg/kgtransformer
공식 코드Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer
https://github.com/zjukg/knowpat
공식 코드Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.