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/aniketmaurya/ssd-tf2-tfds

SSD: Single Shot MultiBox Detector

https://github.com/anilakash/indkgc

Modeling Relational Data with Graph Convolutional Networks

https://github.com/anish-lu-yihe/SVRT-by-GAT

Graph Attention Networks

https://github.com/anonymous20221001/sieg_ogb

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/ant-research/KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/aoru45/BasketNet

SSD: Single Shot MultiBox Detector

https://github.com/aoru45/LFFD-Pytorch

SSD: Single Shot MultiBox Detector

https://github.com/arangoml/fastgraphml

Inductive Representation Learning on Large Graphs

https://github.com/arpytanshu/ssd-object-detection

SSD: Single Shot MultiBox Detector

https://github.com/arvind1998/SSD-Object-Detection

SSD: Single Shot MultiBox Detector

https://github.com/ashwath007/amenity-detection

SSD: Single Shot MultiBox Detector

https://github.com/ashwath007/aminity-detection

SSD: Single Shot MultiBox Detector

https://github.com/asif-salim/GCN-Graph_Convolutional_Network

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/aubricot/object_detection_for_image_cropping

SSD: Single Shot MultiBox Detector

https://github.com/bailvwangzi/repulsion_loss_ssd

SSD: Single Shot MultiBox Detector

https://github.com/balancap/SSD-Tensorflow

SSD: Single Shot MultiBox Detector

https://github.com/basiralab/RG-Select

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/basiralab/Reproducible-Generative-Learning

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/basiralab/falcon

SIGN: Scalable Inception Graph Neural Networks

https://github.com/basiralab/reproduciblefedgnn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/bcsrn/gcn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/benedekrozemberczki/ClusterGCN

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

https://github.com/benedekrozemberczki/karateclub

node2vec: Scalable Feature Learning for Networks

https://github.com/bepping/non-oversmoothing-gcns

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/berlincho/RGCN-pytorch

Modeling Relational Data with Graph Convolutional Networks

https://github.com/birosjh/pytorch_ssd

SSD: Single Shot MultiBox Detector

https://github.com/birosjh/simple_ssd

SSD: Single Shot MultiBox Detector

https://github.com/bleedingfight/caffe-env

SSD: Single Shot MultiBox Detector

https://github.com/blueberryc/pyGAT

Graph Attention Networks

https://github.com/bmoradi93/ssd-object-detection

SSD: Single Shot MultiBox Detector

https://github.com/bowu/GraphSearch

Graph Attention Networks

https://github.com/briangodwinlim/sir-gcn

How Attentive are Graph Attention Networks?

https://github.com/calciver/Graph-Attention-Networks

Graph Attention Networks

https://github.com/calderkatyal/CPSC483FinalProject

Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks

https://github.com/cf020031308/LinkDist/blob/master/ogbn.py

Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages

https://github.com/cfdoge/w9ai

SSD: Single Shot MultiBox Detector

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