Graph Embedding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 5
- 평가표
- 1
- 보존된 평가 기록
- 1
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/xihan-qin/biologically-supervised-graph-embedding
공식 코드https://github.com/xincanfeng/dimension
공식 코드Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex Space
https://github.com/xincanfeng/ms_kge
공식 코드https://github.com/xincanfeng/ss_kge
공식 코드https://github.com/xpgogogo/sccdcg
공식 코드https://github.com/xu-song/k-plug
공식 코드https://github.com/xueping/mipo
공식 코드https://github.com/xwhan/DeepPath
공식 코드DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
https://github.com/xxrep/golde
공식 코드Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
https://github.com/ya-wei0/hyperbolicdiffusiondistance
공식 코드Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
https://github.com/yanir75/gnn-anomalydetection
공식 코드https://github.com/yf-li15/DisenHCN
공식 코드DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction
https://github.com/yifan-gu-szu/gnn-aggregation-over-the-air
공식 코드https://github.com/yifan-h/pge
공식 코드https://github.com/yihuazhu111/3h-th
공식 코드3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding
https://github.com/yihuazhu111/orthogonale
공식 코드Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding
https://github.com/yizhilll/transher
공식 코드TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction
https://github.com/ysjegal/ysjegal-drug-repositioning
공식 코드https://github.com/yuanyuanlei-nlp/conspiracy_theories_emnlp_2023
공식 코드Identifying Conspiracy Theories News based on Event Relation Graph
https://github.com/yuehu9/Con-GAE
공식 코드https://github.com/yuhebai/sem-kge
공식 코드A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings
https://github.com/yur7nd/ptss
공식 코드Repurposing Knowledge Graph Embeddings for Triple Representation via Weak Supervision
https://github.com/yusx-swapp/gnn-rl-model-compression
공식 코드Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
https://github.com/yzhang1918/www2023tiger
공식 코드https://github.com/zangzelin/paper_code_DMAGE/blob/main/README.md
공식 코드https://github.com/zdh2292390/ParTrans-X
공식 코드Efficient Parallel Translating Embedding For Knowledge Graphs
https://github.com/zekarias-tilahun/diagram
공식 코드https://github.com/zequnl/metafill
공식 코드MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks
https://github.com/zexihuang/random-walk-embedding
공식 코드https://github.com/zf-wei/Robustness-of-Graph-Embeddings-for-Community-Detection
공식 코드Robustness of graph embedding methods for community detection
https://github.com/zhangzhk0819/gnn-embedding-leaks
공식 코드https://github.com/zhi520/nc-kge
공식 코드Node-based Knowledge Graph Contrastive Learning for Medical Relationship Prediction
https://github.com/zhudanhao/deepe
공식 코드https://github.com/zihaowang/text_enhanced_kge
공식 코드Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces
https://github.com/zjs123/DTGB
공식 코드DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.