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/ranking-agent/edgar
공식 코드https://github.com/ratschlab/mmugl
공식 코드https://github.com/ravoxsg/efficient_unified_crs
공식 코드Parameter-Efficient Conversational Recommender System as a Language Processing Task
https://github.com/raynorlee/kg-entitytyping
공식 코드The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing
https://github.com/reml-group/deliberation-on-priors
공식 코드Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
https://github.com/reml-group/dog
공식 코드Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models
https://github.com/renli1024/se-gnn
공식 코드How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View
https://github.com/rezacsedu/DDI-prediction-KG-embeddings-Conv-LSTM
공식 코드Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
https://github.com/rightbank/narrative-cartography-ontology
공식 코드https://github.com/rikdz/GraphWriter
공식 코드Text Generation from Knowledge Graphs with Graph Transformers
https://github.com/riken-dko/generation_sparql
공식 코드https://github.com/ritaranx/clingen
공식 코드https://github.com/ritatsousa/expressionKGplus
공식 코드Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs
https://github.com/ritatsousa/expressionkg
공식 코드https://github.com/rloganiv/kglm-model
공식 코드Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling
https://github.com/rmanluo/np-fkgc
공식 코드Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
https://github.com/roaminsight/roamresearch
공식 코드Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations
https://github.com/rohangiriraj/CausalKG
공식 코드https://github.com/roshnigiyer/dgs
공식 코드Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs
https://github.com/royahe/acone
공식 코드Generating $SROI^-$ Ontologies via Knowledge Graph Query Embedding Learning
https://github.com/rsinghlab/K-Paths
공식 코드K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction
https://github.com/rstriv/Know-Evolve
공식 코드Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
https://github.com/ruc-aimind/tiktalk
공식 코드TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World
https://github.com/rui9812/vlp
공식 코드To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
https://github.com/ruijie-wang-uzh/NLQxform
공식 코드NLQxform: A Language Model-based Question to SPARQL Transformer
https://github.com/ruijie-wang-uzh/QAGCN
공식 코드QAGCN: Answering Multi-Relation Questions via Single-Step Implicit Reasoning over Knowledge Graphs
https://github.com/ruijie-wang-uzh/gnn2r
공식 코드GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs
https://github.com/ruizhang-ai/autoalign
공식 코드AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models
https://github.com/ruoqi-liu/kg-treat
공식 코드https://github.com/rusty1s/deep-graph-matching-consensus
공식 코드https://github.com/rwchakra/conbias
공식 코드https://github.com/ryan315/7pgd
공식 코드https://github.com/ryanwangzf/biobridge
공식 코드BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
https://github.com/s-nlp/konstruktor
공식 코드Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering
https://github.com/sa5r/kgrp
공식 코드Knowledge Graph Completion using Structural and Textual Embeddings
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.