Papers with Code 아카이브
Graph Embedding
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Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.
<span style="color:grey; opacity: 0.6">( Image credit: GAT )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/palash1992/GEM
공식 코드Graph Embedding Techniques, Applications, and Performance: A Survey
https://github.com/palash1992/GEM-Benchmark
공식 코드https://github.com/paramita08/wikidata_bias_websci_2023
공식 코드Diversity matters: Robustness of bias measurements in Wikidata
https://github.com/pat-jj/KG-FIT
공식 코드KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
https://github.com/pbaghershahi/TGCN
공식 코드Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition
https://github.com/pcy1302/TransCF
공식 코드https://github.com/pengyanhui/LineaRE
공식 코드LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction
https://github.com/perubhardwaj/attributionattack
공식 코드Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods
https://github.com/perubhardwaj/inferenceattack
공식 코드Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
https://github.com/peyman-bi/sattle
공식 코드Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction
https://github.com/pitteryue/recommender-systems
공식 코드Recommender systems based on graph embedding techniques: A comprehensive review
https://github.com/pku-ml/laplaciancanonization
공식 코드Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding
https://github.com/plantc/GEMPE
공식 코드Massively Parallel Graph Drawing and Representation Learning
https://github.com/pouyapez/mkbe
공식 코드Embedding Multimodal Relational Data for Knowledge Base Completion
https://github.com/priba/hierarchicalSGE
공식 코드Hierarchical stochastic graphlet embedding for graph-based pattern recognition
https://github.com/princeton-vl/FormulaNet
공식 코드Premise Selection for Theorem Proving by Deep Graph Embedding
https://github.com/pykeen/benchmarking
공식 코드https://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/qiang-ma/graph-pointer-network
공식 코드Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning
https://github.com/rahuln/lm-bio-kgc
공식 코드Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study
https://github.com/rajathpatel23/joint-kge-fnet-lm
공식 코드https://github.com/ralphabb/BoxE
공식 코드https://github.com/renj-xu/negsc
공식 코드https://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/ritatsousa/expressionKGplus
공식 코드Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs
https://github.com/robinvndaele/topembedding
공식 코드https://github.com/rocmfang/distger
공식 코드Distributed Graph Embedding with Information-Oriented Random Walks
https://github.com/roeiherz/STAG-Nets
공식 코드https://github.com/rutgerswiselab/NS-KGE
공식 코드https://github.com/rutzeng/EgoCNN
공식 코드Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures
https://github.com/salesforce/MultiHopKG
공식 코드https://github.com/sanaz11-3/temporal-link-prediction
공식 코드https://github.com/saptarshi059/cdqa-project
공식 코드Towards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.