https://github.com/parajain/dynamic_context
공식 코드Conversational Semantic Parsing using Dynamic Context Graphs
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 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/paramita08/wikidata_auditlp
공식 코드Social Biases in Knowledge Representations of Wikidata separates Global North from Global South
https://github.com/paramita08/wikidata_bias_websci_2023
공식 코드Diversity matters: Robustness of bias measurements in Wikidata
https://github.com/pascalson/diffkg-dialog
공식 코드Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems
https://github.com/pat-jj/Retrieval-And-Structure
공식 코드RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
https://github.com/pat-jj/ras
공식 코드RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
https://github.com/pbaghershahi/TGCN
공식 코드Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition
https://github.com/pengyanhui/LineaRE
공식 코드LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction
https://github.com/pengyu-zhang/tiger-temporally-improved-graph-entity-linker
공식 코드https://github.com/perubhardwaj/attributionattack
공식 코드Adversarial Robustness of Representation Learning for Knowledge Graphs
https://github.com/perubhardwaj/inferenceattack
공식 코드Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
https://github.com/peterwestai2/symbolic-knowledge-distillation
공식 코드Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
https://github.com/peyman-bi/sattle
공식 코드Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction
https://github.com/pgraphrag-benchmark/pgr-llm
공식 코드Personalized Graph-Based Retrieval for Large Language Models
https://github.com/pharmolix/openbiomed
공식 코드Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge
https://github.com/philotron/CS-Scholarly-KG
공식 코드Conversational Exploratory Search of Scholarly Publications Using Knowledge Graphs
https://github.com/philotron/bridge-kg
공식 코드Bridging Information Gaps in Dialogues With Grounded Exchanges Using Knowledge Graphs
https://github.com/phrara/kgmark
공식 코드https://github.com/pievos101/cpath
공식 코드Explaining and visualizing black-box models through counterfactual paths
https://github.com/pioneer-innovation/zero-shot-object-navigation
공식 코드https://github.com/pitteryue/recommender-systems
공식 코드Recommender systems based on graph embedding techniques: A comprehensive review
https://github.com/pku-icst-mipl/firzen_icde2024
공식 코드https://github.com/pku-yuangroup/chatlaw
공식 코드https://github.com/pkuserc/AAAI2021-MIUK-Relation-Extraction
공식 코드Multi-view Inference for Relation Extraction with Uncertain Knowledge
https://github.com/pkusjh/lass
공식 코드Joint Language Semantic and Structure Embedding for Knowledge Graph Completion
https://github.com/pkuyzy/cbgnn
공식 코드Cycle Representation Learning for Inductive Relation Prediction
https://github.com/plumdeq/neuro-kglink
공식 코드https://github.com/pmonnin/gcn-matching
공식 코드Discovering alignment relations with Graph Convolutional Networks: a biomedical case study
https://github.com/pmonnin/kgpm
공식 코드Tackling scalability issues in mining path patterns from knowledge graphs: a preliminary study
https://github.com/prakhargurawa/Drug-Similarity-and-Link-Prediction-using-Graph-Embeddings-on-Medical-Knowledge-Graph
공식 코드Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge Graphs
https://github.com/predict-idlab/RR-GCN
공식 코드https://github.com/purdueminds/isdea
공식 코드Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
https://github.com/pykeen/ilpc2022
공식 코드An Open Challenge for Inductive Link Prediction on Knowledge Graphs
https://github.com/pykeen/pykeen
공식 코드https://github.com/pykeen/ranking-metrics-manuscript
공식 코드A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs
https://github.com/pzh97/learning-rules-from-kgs-guided-by-language-models
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.