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Link Prediction

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하위 태스크: 6
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/DanieleVeri/deep_comedy

Attention Is All You Need

https://github.com/Dave870907/Transformer

Attention Is All You Need

https://github.com/DavorPenzar/tlp

Temporal Link Prediction using Matrix and Tensor Factorizations

https://github.com/DeepGraphLearning/graphvite

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

https://github.com/DeligientSloth/QQsim

Attention Is All You Need

https://github.com/DeligientSloth/bert-tensorflow

Attention Is All You Need

https://github.com/DeokO/bert-excercise-ongoing

Attention Is All You Need

https://github.com/DevSinghSachan/multilingual_nmt

Attention Is All You Need

https://github.com/Diego999/pyGAT

Graph Attention Networks

https://github.com/Doffery/BERT-Sentiment-Analysis-Amazon-Review

Attention Is All You Need

https://github.com/ElementAI/HypE

Knowledge Hypergraphs: Prediction Beyond Binary Relations

https://github.com/EmilioTyl/transformers_from_scratch

Attention Is All You Need

https://github.com/Enigmatisms/Set-Transformer

Attention Is All You Need

https://github.com/EthanWYB/bert-classification

Attention Is All You Need

https://github.com/EugeneSel/EUMT

Attention Is All You Need

https://github.com/EuphoriaYan/bert_component

Attention Is All You Need

https://github.com/FaskyCC/TextClassification

Attention Is All You Need

https://github.com/Fedzbar/laser-release

Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark

https://github.com/FengJiaChunFromSYSU/Bert

Attention Is All You Need

https://github.com/FlorianPfisterer/2D-LSTM-Seq2Seq

Attention Is All You Need

https://github.com/FranxYao/PoincareProbe

Poincaré Embeddings for Learning Hierarchical Representations

https://github.com/Fuchai/language

Attention Is All You Need

https://github.com/G-4-R-Y/Tweet-Sentiment-Extraction

Attention Is All You Need

https://github.com/G-4-R-Y/Tweet-Sentiment-Extraction-roBERTa-5fold

Attention Is All You Need

https://github.com/Gaozhen0816/BERT_QA_For_AILaw

Attention Is All You Need

https://github.com/Gaozhen0816/BERT_QA_for_Chinese

Attention Is All You Need

https://github.com/GitHubLuCheng/Causal-Understanding-of-Fake-News-Dissemination

Neural Graph Collaborative Filtering

https://github.com/Glaceon31/Document-Transformer

Attention Is All You Need

https://github.com/GlassyWing/transformer-keras

Attention Is All You Need

https://github.com/GraphPKU/Refined-GAE

Reconsidering the Performance of GAE in Link Prediction

https://github.com/GraphSAINT/GraphSAINT

Graph Attention Networks

https://github.com/HKUST-KnowComp/R-Net

Attention Is All You Need

https://github.com/HanhaiNotHai/transformer

Attention Is All You Need

https://github.com/HaochenLiu2000/QAP

Deep Bidirectional Language-Knowledge Graph Pretraining

https://github.com/Harry-Muzart/harry-muzart.github.io

Attention Is All You Need

https://github.com/HazyResearch/KGEmb

Low-Dimensional Hyperbolic Knowledge Graph Embeddings

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