Papers with Code 아카이브

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/graphcore-research/bess-kge

BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion

https://github.com/graphcore/ogb-lsc-pcqm4mv2

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

https://github.com/graykode/gpt-2-Pytorch

Attention Is All You Need

https://github.com/graykode/nlp-tutorial

Attention Is All You Need

https://github.com/gregtozzi/deep_learning_celnav

ktrain: A Low-Code Library for Augmented Machine Learning

https://github.com/guillaume-chevalier/Linear-Attention-Recurrent-Neural-Network

Attention Is All You Need

https://github.com/guillaumejaume/tuto-dl-on-graphs

Modeling Relational Data with Graph Convolutional Networks

https://github.com/guixiangyu1/KGE-HAKE-master

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

https://github.com/guoyaohua/BERT-Chinese-Annotation

Attention Is All You Need

https://github.com/guzhang480/Google_BERT

Attention Is All You Need

https://github.com/gychant/CSKMTermDefn

KG-BERT: BERT for Knowledge Graph Completion

https://github.com/h4ste/oscar

Attention Is All You Need

https://github.com/haidershaour/bert

Attention Is All You Need

https://github.com/halo090770/bert

Attention Is All You Need

https://github.com/han-shi/SparseBERT

Attention Is All You Need

https://github.com/handasontam/GAT-with-edgewise-attention

Graph Attention Networks

https://github.com/hannibal046/nanorwkv

Attention Is All You Need

https://github.com/haonan3/Secure-Network-Release-with-Link-Privacy

Secure Deep Graph Generation with Link Differential Privacy

https://github.com/harenlin/IMDB-Sentiment-Analysis-Using-BERT-Fine-Tuning

Attention Is All You Need

https://github.com/harshit158/paper-dots

Attention Is All You Need

https://github.com/harvardnlp/annotated-transformer

Attention Is All You Need

https://github.com/hengruizhang98/GCMC-Pytorch-dgl

Graph Convolutional Matrix Completion

https://github.com/hfxunlp/transformer

Attention Is All You Need

https://github.com/hiun/learning-transformers

Attention Is All You Need

https://github.com/hkust-knowcomp/efo-1-qa-benchmark

Logic Embeddings for Complex Query Answering

https://github.com/hkust-knowcomp/sessioncqa

Fuzzy Logic Based Logical Query Answering on Knowledge Graphs

https://github.com/hkust-knowcomp/sqe

Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders

https://github.com/hmcreamer/hackRice19

Inductive Representation Learning on Large Graphs

https://github.com/hoangtrungchinh/Bert-SQuAD-v2

Attention Is All You Need

https://github.com/houchengbin/GloDyNE

DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding

https://github.com/hrbigelow/transformer-aiayn

Attention Is All You Need

https://github.com/huangtinglin/NGCF-PyTorch

Neural Graph Collaborative Filtering

https://github.com/hubiodatalab/druggen

Attention Is All You Need

https://github.com/huggingface/transformers

Attention Is All You Need

https://github.com/hughxiouge/CompoundE3D

Knowledge Graph Embedding with 3D Compound Geometric Transformations

https://github.com/hyunjin72/GraphGAN-PyTorch

GraphGAN: Graph Representation Learning with Generative Adversarial Nets

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.