Papers with Code 아카이브

Node Property Prediction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

2

평가표

5

보존된 평가 기록

235

코드

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

https://github.com/TheJacksonLaboratory/N2V

node2vec: Scalable Feature Learning for Networks

https://github.com/ThiagoPiovesan/PeopleCounter_module

SSD: Single Shot MultiBox Detector

https://github.com/ThomPijnenburg/Collab-Link-Prediction

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/Tota-Nakatani/SSD_keras

SSD: Single Shot MultiBox Detector

https://github.com/Tsejing/object_detection

SSD: Single Shot MultiBox Detector

https://github.com/TurtleGo/project-vehicle-detect

SSD: Single Shot MultiBox Detector

https://github.com/TyngJiunKuo/deep-learning-project

Graph Attention Networks

https://github.com/VITA-Group/Large_Scale_GCN_Benchmarking

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking

https://github.com/Viveksbawa/SARAS-ESAD-Baseline

SSD: Single Shot MultiBox Detector

https://github.com/WantingZhao/my_GAT

Graph Attention Networks

https://github.com/WiktorJ/msnode2vec

node2vec: Scalable Feature Learning for Networks

https://github.com/XiangGaofeng/MindSpore-SSD

SSD: Single Shot MultiBox Detector

https://github.com/Yindong-Zhang/myGAT

Graph Attention Networks

https://github.com/YunseobShin/wiki_GAT

Graph Attention Networks

https://github.com/ZeinabRahbar/Implementation-for-the-paper-of-SEMI-SUPERVISED-CLASSIFICATION-WITH-GRAPH-CONVOLUTIONAL-NETWORKS

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/ZhangJiajun1995/cs231n-camp

SSD: Single Shot MultiBox Detector

https://github.com/ZhouKai90/face-detection-ssd-mxnet

SSD: Single Shot MultiBox Detector

https://github.com/Zoushuang86/quiz_w8

SSD: Single Shot MultiBox Detector

https://github.com/abhilash1910/GraphAttentionNetworks

Graph Attention Networks

https://github.com/abi-kothapalli/minimumdominatingsets

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/acbull/pyHGT/tree/master/ogbn-mag

Heterogeneous Graph Transformer

https://github.com/aiha-lab/AI-thermometer

SSD: Single Shot MultiBox Detector

https://github.com/airplane2230/keras_Model_for_Beginner

SSD: Single Shot MultiBox Detector

https://github.com/airplane2230/keras_SSD_for_beginner

SSD: Single Shot MultiBox Detector

https://github.com/ajbisberg/gcn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/ajinkyakhoche/Object-Detection-Project

SSD: Single Shot MultiBox Detector

https://github.com/ak24watch/Graph-Deeplearning-GAT

Graph Attention Networks

https://github.com/akash18tripathi/MAGNET-Multi-Label-Text-Classi-cation-using-Attention-based-Graph-Neural-Network

Graph Attention Networks

https://github.com/alexOarga/haiku-geometric

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/alililia/ms_contrib/tree/main/ascend_gcn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/alililia/ms_contrib/tree/main/gpu_gcn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/alipay/KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/alpemek/ais3d

SSD: Single Shot MultiBox Detector

https://github.com/amdegroot/ssd.pytorch

SSD: Single Shot MultiBox Detector

https://github.com/amemetov/ssd

SSD: Single Shot MultiBox Detector

https://github.com/amirmohammadii/SSD-object-detection

SSD: Single Shot MultiBox Detector

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