https://github.com/microsoft/HittER
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
Papers with Code 아카이브
Link Prediction
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- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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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/microsoft/onnxruntime-training-examples
https://github.com/migalkin/NodePiece/tree/main/ogb
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
https://github.com/mim-solutions/bert_for_longer_texts
https://github.com/mim-solutions/roberta_for_longer_texts
https://github.com/mindspore-ai/models/tree/master/official/gnn/gat
https://github.com/mindspore-ai/models/tree/master/official/nlp/transformer
https://github.com/mindspore-ai/models/tree/master/research/nlp/rotate
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/mindspore-courses/Deep-Tutorials-for-MindSpore
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/attention/SelfAttention.py
https://github.com/ming024/FastSpeech2
https://github.com/miralab-ustc/qe-cone
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/mithunpaul08/bert_tensorflow
https://github.com/mitran27/Attention-is-all-you-Need
https://github.com/mitya8128/experiments_notes
https://github.com/mldroid/subgraph2vec
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs
https://github.com/mldroid/subgraph2vec_gensim
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs
https://github.com/mldroid/subgraph2vec_tf
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs
https://github.com/mlwin-de/MDE
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs
https://github.com/mlwin-de/MDE_adv
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs
https://github.com/mlzxzhou/keras-gnm
https://github.com/mmiller96/netgan_pytorch
https://github.com/mnick/holographic-embeddings
https://github.com/mnick/scikit-kge
https://github.com/mniepert/mmkb
Learning Sequence Encoders for Temporal Knowledge Graph Completion
https://github.com/moein-shariatnia/Pix2Seq
https://github.com/monarch-initiative/embiggen
https://github.com/monimoyd/NLPEnglishToPythonCodeUsingTransformer
https://github.com/monimoyd/NLPMachineTranslationUsingTransformer
https://github.com/moon23k/Scheduled_Sampling
https://github.com/moon23k/Transformer_Anchors
https://github.com/moon23k/Transformer_Archs
https://github.com/mostsuperman/KGCN-ML
Knowledge Graph Convolutional Networks for Recommender Systems
https://github.com/mostsuperman/test
Knowledge Graph Convolutional Networks for Recommender Systems
https://github.com/myamamoto555/tf-bert
https://github.com/nachiketaa/bert
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.