Papers with Code 아카이브

Link Property Prediction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

6

보존된 평가 기록

160

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/snap-stanford/ogb/tree/master/examples/linkproppred/citation2

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/snap-stanford/ogb/tree/master/examples/linkproppred/collab

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/snap-stanford/ogb/tree/master/examples/linkproppred/ddi

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/snap-stanford/ogb/tree/master/examples/linkproppred/ppa

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/snap-stanford/ogb/tree/master/examples/nodeproppred/arxiv

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/snap-stanford/ogb/tree/master/examples/nodeproppred/mag

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/snap-stanford/ogb/tree/master/examples/nodeproppred/papers100M

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/snap-stanford/ogb/tree/master/examples/nodeproppred/products

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/snap-stanford/ogb/tree/master/examples/nodeproppred/proteins

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/sntcristian/and-kge

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

https://github.com/stellargraph/stellargraph

Complex Embeddings for Simple Link Prediction

https://github.com/sunxiaobei/mindspore_gallery/tree/main/grl/gcn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/syyunn/node2vec

DeepWalk: Online Learning of Social Representations

https://github.com/thanhtrunghuynh93/pygcn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/thibaudmartinez/node2vec

node2vec: Scalable Feature Learning for Networks

https://github.com/thiviyant/intelligraphs

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

https://github.com/thu-keg/eakit

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

https://github.com/thudm/graphmae2

GraphSAINT: Graph Sampling Based Inductive Learning Method

https://github.com/tk-rusch/graphcon

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/tkipf/gcn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/tkipf/keras-gcn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/toinesayan/node-classification-and-label-dependencies

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/tuananh0305/GCN_ANOMALY_DETECTION

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/twjiang/graphSAGE-pytorch

Inductive Representation Learning on Large Graphs

https://github.com/udlf/wsef

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/urielsinger/ctdne

node2vec: Scalable Feature Learning for Networks

https://github.com/urielsinger/fairwalk

node2vec: Scalable Feature Learning for Networks

https://github.com/venomouscyanide/S3GRL_OGB

Simplifying Subgraph Representation Learning for Scalable Link Prediction

https://github.com/veritasyin/subg_acc

Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning

https://github.com/weiyinwei/huign

Inductive Representation Learning on Large Graphs

https://github.com/weiyinwei/mmgcn

Inductive Representation Learning on Large Graphs

https://github.com/wongzhenhao/ELGNN

Ensemble Learning for Graph Neural Networks

https://github.com/xingsumq/us-defake

GraphSAINT: Graph Sampling Based Inductive Learning Method

https://github.com/xnuohz/DeeperGCN-dgl

DeeperGCN: All You Need to Train Deeper GCNs

https://github.com/xyznlp/trans

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/yCobanoglu/infinite-width-gnns

Semi-Supervised Classification with Graph Convolutional Networks

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