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Knowledge Graphs

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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/philotron/CS-Scholarly-KG

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Conversational Exploratory Search of Scholarly Publications Using Knowledge Graphs

https://github.com/philotron/bridge-kg

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Bridging Information Gaps in Dialogues With Grounded Exchanges Using Knowledge Graphs

https://github.com/phrara/kgmark

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KGMark: A Diffusion Watermark for Knowledge Graphs

https://github.com/pievos101/cpath

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Explaining and visualizing black-box models through counterfactual paths

https://github.com/pioneer-innovation/zero-shot-object-navigation

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Zero-shot object goal visual navigation

https://github.com/pitteryue/recommender-systems

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Recommender systems based on graph embedding techniques: A comprehensive review

https://github.com/pku-icst-mipl/firzen_icde2024

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Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for Recommendation

https://github.com/pku-yuangroup/chatlaw

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Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language Model

https://github.com/pkuserc/AAAI2021-MIUK-Relation-Extraction

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Multi-view Inference for Relation Extraction with Uncertain Knowledge

https://github.com/pkusjh/lass

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Joint Language Semantic and Structure Embedding for Knowledge Graph Completion

https://github.com/pkuyzy/cbgnn

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Cycle Representation Learning for Inductive Relation Prediction

https://github.com/pldlgb/MetaSD

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Self-Distillation with Meta Learning for Knowledge Graph Completion

https://github.com/plumdeq/neuro-kglink

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Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes

https://github.com/pmonnin/gcn-matching

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Discovering alignment relations with Graph Convolutional Networks: a biomedical case study

https://github.com/pmonnin/kgpm

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Tackling 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

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Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge Graphs

https://github.com/predict-idlab/RR-GCN

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R-GCN: The R Could Stand for Random

https://github.com/purdueminds/isdea

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Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types

https://github.com/pykeen/ilpc2022

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An Open Challenge for Inductive Link Prediction on Knowledge Graphs

https://github.com/pykeen/pykeen

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The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability

https://github.com/pykeen/ranking-metrics-manuscript

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A 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

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Learning Rules from KGs Guided by Language Models

https://github.com/qcri/rdfframes

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RDFFrames: Knowledge Graph Access for Machine Learning Tools

https://github.com/qdin4048/CPL-OT

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Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment

https://github.com/qianbozang/kg-htc

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KG-HTC: Integrating Knowledge Graphs into LLMs for Effective Zero-shot Hierarchical Text Classification

https://github.com/qiancheng0/ekd_impacts_pkg

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"Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs

https://github.com/qianlima-lab/clmpt

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Conditional Logical Message Passing Transformer for Complex Query Answering

https://github.com/qianyue-wang/dome

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Generating Long-form Story Using Dynamic Hierarchical Outlining with Memory-Enhancement

https://github.com/qinyuma316/retrosynthesisagent

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Leveraging Large Language Models as Knowledge-Driven Agents for Reliable Retrosynthesis Planning

https://github.com/quark0/ANALOGY

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Analogical Inference for Multi-Relational Embeddings

https://github.com/quqxui/mpikgc

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Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models

https://github.com/rahuln/lm-bio-kgc

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Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study

https://github.com/rajammanabrolu/Q-BERT

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How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents

https://github.com/rajarshd/CBR-AKBC

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A Simple Approach to Case-Based Reasoning in Knowledge Bases

https://github.com/rajathpatel23/joint-kge-fnet-lm

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On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling

https://github.com/rajpurkarlab/rexkg

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Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs

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