https://github.com/chenxi1228/SPEED
공식 코드SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding
Papers with Code 아카이브
Graph Embedding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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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/chenxran/instancebasedlearning
공식 코드https://github.com/christopher-irw/proformer_ce
공식 코드https://github.com/cominsys/ExEm
공식 코드ExEm: Expert Embedding using dominating set theory with deep learning approaches
https://github.com/conf20/egg
공식 코드https://github.com/cornell-zhang/GraphZoom
공식 코드GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding
https://github.com/cpu135/item-graph2vec
공식 코드https://github.com/crepuscularlight/semanticloopclosure
공식 코드LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention Networks
https://github.com/cshen6/graphemd
공식 코드https://github.com/cshen6/graphnn
공식 코드https://github.com/cynricfu/fedhgn
공식 코드FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
https://github.com/daiquocnguyen/ConvKB
공식 코드A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
https://github.com/daiquocnguyen/Graph-Transformer
공식 코드https://github.com/daiquocnguyen/QGNN
공식 코드https://github.com/daiquocnguyen/QuatRE
공식 코드QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings
https://github.com/daiquocnguyen/R-MeN
공식 코드A Relational Memory-based Embedding Model for Triple Classification and Search Personalization
https://github.com/daiquocnguyen/gnn-regvd
공식 코드ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
https://github.com/dair-iitd/kbi
공식 코드Joint Matrix-Tensor Factorization for Knowledge Base Inference
https://github.com/dair-iitd/kbi-regex
공식 코드https://github.com/dair-iitd/mokb6
공식 코드mOKB6: A Multilingual Open Knowledge Base Completion Benchmark
https://github.com/dair-iitd/tkbi
공식 코드Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols
https://github.com/dalab/hyperbolic_cones
공식 코드Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
https://github.com/data-engineering-and-semantics/openkgbiblio
공식 코드https://github.com/datquocnguyen/STransE
공식 코드STransE: a novel embedding model of entities and relationships in knowledge bases
https://github.com/davidlamprecht/linkedpaperswithcode
공식 코드Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph
https://github.com/davidlvxin/TransC
공식 코드Differentiating Concepts and Instances for Knowledge Graph Embedding
https://github.com/dawenzi123/DAGCN
공식 코드https://github.com/dchang56/snomed_kge
공식 코드Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings
https://github.com/de-tum/gnce
공식 코드Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
https://github.com/debayan/gett-qa
공식 코드GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering
https://github.com/deepakn97/relationPrediction
공식 코드Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
https://github.com/deezer/recsys21-hlr
공식 코드Hierarchical Latent Relation Modeling for Collaborative Metric Learning
https://github.com/dellixx/tkbc-lie
공식 코드https://github.com/dellixx/transerr
공식 코드TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation
https://github.com/dfdazac/blp
공식 코드Inductive Entity Representations from Text via Link Prediction
https://github.com/dice-group/Convolutional-Complex-Knowledge-Graph-Embeddings
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.