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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/amazon-science/tree-of-traversals

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Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs

https://github.com/amberyzheng/bloomgml

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BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization

https://github.com/ameyagodbole/Prob-CBR

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Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion

https://github.com/amzn/ss-aga-kgc

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Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment

https://github.com/anasedova/actc

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ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion

https://github.com/andreeaiana/nemig

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NeMig -- A Bilingual News Collection and Knowledge Graph about Migration

https://github.com/andreeaiana/rdf2vec-materialization

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More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings

https://github.com/anhtuan5696/TPAMTL

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Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning

https://github.com/anilakash/indkgc

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Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis

https://github.com/anjsimmo/signal-knowledge-graph

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Signal Knowledge Graph

https://github.com/ankush9812/aviation-question-answer-pairs

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There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering

https://github.com/ankush9812/knowledge-infusion-in-lm-for-qa

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There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering

https://github.com/anon809/efsum

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Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering

https://github.com/anonym844/kg-diverse

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Knowledge Graph Context-Enhanced Diversified Recommendation

https://github.com/ansonb/knowledge_persistence

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Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods?

https://github.com/aorogat/CBench

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CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs

https://github.com/apoorvumang/CronKGQA

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Question Answering Over Temporal Knowledge Graphs

https://github.com/apoorvumang/kgt5

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Sequence-to-Sequence Knowledge Graph Completion and Question Answering

https://github.com/apple/ml-kge

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Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs

https://github.com/applied-machine-learning-lab/mesh-tkgr

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A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs

https://github.com/april-tools/gekcs

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How to Turn Your Knowledge Graph Embeddings into Generative Models

https://github.com/arm-diaz/bio-germline-diseases-bert-ner

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Applying BioBERT to Extract Germline Gene-Disease Associations for Building a Knowledge Graph from the Biomedical Literature

https://github.com/armitakhn/gilbert

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Knowledge Graph Refinement based on Triplet BERT-Networks

https://github.com/arthurbra/citation-recommendation-kg

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Citation Recommendation for Research Papers via Knowledge Graphs

https://github.com/artificial-scientist-lab/impact4cast

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Forecasting high-impact research topics via machine learning on evolving knowledge graphs

https://github.com/artificial-scientist-lab/scimuse

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Interesting Scientific Idea Generation using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders

https://github.com/aryopg/biokge

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Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks

https://github.com/asadifar/HCqa

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HCqa: Hybrid and Complex Question Answering on Textual Corpus and Knowledge Graph

https://github.com/asahi417/relbert

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Distilling Relation Embeddings from Pre-trained Language Models

https://github.com/ascherp/semantic-web-primer

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Semantic Web: Past, Present, and Future

https://github.com/asoulet/superficiality

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The Structure and Dynamics of Knowledge Graphs, with Superficiality

https://github.com/astrazeneca/awesome-drug-discovery-knowledge-graphs

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A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective

https://github.com/astrazeneca/biomedical-kg-topological-imbalance

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Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs

https://github.com/astrazeneca/kgem-in-drug-discovery

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Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery

https://github.com/astrazeneca/onto_merger

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OntoMerger: An Ontology Integration Library for Deduplicating and Connecting Knowledge Graph Nodes

https://github.com/asu-kim/personal-llm-kg

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Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph

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