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/thiviyant/intelligraphs
공식 코드IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation
https://github.com/thunlp/AGE
공식 코드https://github.com/thunlp/FFD
공식 코드https://github.com/tianran/glimvec
공식 코드Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder
https://github.com/tigerchen52/long_tail_kbc
공식 코드https://github.com/tkipf/relational-gcn
공식 코드https://github.com/torchkge-team/torchkge
공식 코드https://github.com/tranhungnghiep/AnalyzeKGE
공식 코드Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective
https://github.com/tranhungnghiep/KG20C
공식 코드Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space
https://github.com/tranhungnghiep/MEI-KGE
공식 코드Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion
https://github.com/tranhungnghiep/meim-kge
공식 코드https://github.com/tsafavi/cascader
공식 코드CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction
https://github.com/tunazislam/weaksupervised-graphemb-userrep
공식 코드Twitter User Representation Using Weakly Supervised Graph Embedding
https://github.com/uJ62JHD/Privacy-Preserving-Social-Network-Embedding
공식 코드Adversarial Privacy Preserving Graph Embedding against Inference Attack
https://github.com/ucbrise/graphtrans
공식 코드Representing Long-Range Context for Graph Neural Networks with Global Attention
https://github.com/uma-pi1/grash
공식 코드Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
https://github.com/uma-pi1/kgt5-context
공식 코드Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction
https://github.com/urbanmobility/pg2net
공식 코드PG$^2$Net: Personalized and Group Preferences Guided Network for Next Place Prediction
https://github.com/usydnlp/MACAS
공식 코드Detect All Abuse! Toward Universal Abusive Language Detection Models
https://github.com/utcsilab/ESI_HGE
공식 코드Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference
https://github.com/vasco95/DMGD
공식 코드Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description
https://github.com/vid-koci/kbctransferlearning
공식 코드https://github.com/vinhsuhi/wge
공식 코드Two-view Graph Neural Networks for Knowledge Graph Completion
https://github.com/violet24k/sphere
공식 코드SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval
https://github.com/vuptran/graph-representation-learning
공식 코드https://github.com/vwz/AGE
공식 코드https://github.com/wangbo9719/StAR_KGC
공식 코드Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion
https://github.com/wangpf3/LAN
공식 코드Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
https://github.com/wangskyGit/KeHGN-R
공식 코드https://github.com/wendig/gd-caf
공식 코드Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcasting
https://github.com/wentao-xu/kge-cl
공식 코드KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings
https://github.com/wentao-xu/shgnn
공식 코드https://github.com/wjk666/disenkgat
공식 코드DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network
https://github.com/xiangni/DREAM
공식 코드Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
https://github.com/xiangyue9607/BioNEV
공식 코드Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.