Papers with Code 아카이브
Link Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 79
- 보존된 평가 기록
- 497
Link Prediction is a task in graph and network analysis where the goal is to predict missing or future connections between nodes in a network. Given a partially observed network, the goal of link prediction is to infer which links are most likely to be added or missing based on the observed connections and the structure of the network.
<span style="color:grey; opacity: 0.6">( Image credit: Inductive Representation Learning on Large Graphs )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hyunwoongko/transformer
https://github.com/iHeartGraph/Euler
https://github.com/icd-codex/icd-codex
https://github.com/icewing1996/bert_dep
https://github.com/icml2024357/hombasis-gnn
https://github.com/ictnlp/DiverseNMT
https://github.com/ictnlp/NA-MNMT
https://github.com/ictnlp/PTE-NMT
https://github.com/ictnlp/TLAT-NMT
https://github.com/idiotprofessorchen/bert.github.io
https://github.com/iejMac/ScriptWriter
https://github.com/iesl/geometric_graph_embedding
https://github.com/ikergarcia1996/Simultaneous-Machine-Translation
https://github.com/immabe/NGCF_pytorch
https://github.com/ink-usc/request
https://github.com/insigh/THUMT
https://github.com/ipolharvard/readmit-stgnn
GNNExplainer: Generating Explanations for Graph Neural Networks
https://github.com/ishritam/Image-captioning-with-visual-attention
https://github.com/isotlaboratory/ml4vrp
https://github.com/jadore801120/attention-is-all-you-need-pytorch
https://github.com/jageshmaharjan/BERT_Service
https://github.com/jaisenbe58r/NLP-Transformer_Translator
https://github.com/jamesdvance/predicting_clicks
https://github.com/jangjoongkeon/JK
https://github.com/jbdel/OMG_UMONS_submission
https://github.com/jean-kunz/ml_research_papers
https://github.com/jelifysh/Transformers
https://github.com/jennyzhang0215/DGL-KGAT
https://github.com/jeongchanyoung-1234/De-En-NMT
https://github.com/jgcbrouns/Introducing-Sparsity-in-the-Transformer
https://github.com/jiacheng-xu/vmf_vae_nlp
https://github.com/jiahuei/Self-Critical-SCST-TensorFlow
https://github.com/jianz94/e-lstm-d
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
https://github.com/jiean001/models_m/tree/main/hake
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/jiean001/models_m/tree/main/rotate
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.