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/Eljefemasao/MarkNet-ObjectDetector

SSD: Single Shot MultiBox Detector

https://github.com/EricYang3721/faces

SSD: Single Shot MultiBox Detector

https://github.com/GitHberChen/FCN-Pytorch

SSD: Single Shot MultiBox Detector

https://github.com/GraphSAINT/GraphACT

GraphSAINT: Graph Sampling Based Inductive Learning Method

https://github.com/Guillem96/ssd-pytorch

SSD: Single Shot MultiBox Detector

https://github.com/HamzaGbada/GCN-Numpy

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/HazyResearch/hgcn

Graph Attention Networks

https://github.com/HeapHop30/graph-attention-nets

Graph Attention Networks

https://github.com/HiKapok/SSD.TensorFlow

SSD: Single Shot MultiBox Detector

https://github.com/HoganZhang/pygcn_python3

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/ICT-GIMLab/SeHGNN/tree/master/large

Simple and Efficient Heterogeneous Graph Neural Network

https://github.com/INK-USC/MHGRN

Modeling Relational Data with Graph Convolutional Networks

https://github.com/INK-USC/RE-Net

Modeling Relational Data with Graph Convolutional Networks

https://github.com/IllinoisGraphBenchmark/IGB-Datasets

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/InquisitiveOjas/Object-Detection_SSD

SSD: Single Shot MultiBox Detector

https://github.com/JHL-HUST/LDMLP/tree/main/ogbn

Long-range Meta-path Search on Large-scale Heterogeneous Graphs

https://github.com/JHL-HUST/LMSPS/tree/main/ogbn

Long-range Meta-path Search on Large-scale Heterogeneous Graphs

https://github.com/JaryHuang/awesome_SSD_FPN_GIoU

SSD: Single Shot MultiBox Detector

https://github.com/JiabenLi/rgcn_paddlepaddle

Modeling Relational Data with Graph Convolutional Networks

https://github.com/JimmyLauren/caffe_ssd_mofified

SSD: Single Shot MultiBox Detector

https://github.com/JoegameZhou/ssd

SSD: Single Shot MultiBox Detector

https://github.com/JoyHsiao/Haitec

SSD: Single Shot MultiBox Detector

https://github.com/Kaimaoge/IGNNK

Graph Attention Networks

https://github.com/KimMeen/GCN

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark

SSD: Single Shot MultiBox Detector

https://github.com/Kristof-Neys/GAT_Neo4j_DGL

Graph Attention Networks

https://github.com/LanqingLi/Chromosome

SSD: Single Shot MultiBox Detector

https://github.com/LouisDumont/GCN---re-implementation

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/MIRALab-USTC/LD

Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias

https://github.com/MTCloudVision/mxnet-dssd

SSD: Single Shot MultiBox Detector

https://github.com/MehmetBarutcu/Streaming-Algorithm-for-Monotone-k-Submodular-Maximization-with-Cardinality-Constraints

Graph Attention Networks

https://github.com/MenGuangwen-CN-0411/Simple-Use-of-SSD

SSD: Single Shot MultiBox Detector

https://github.com/Messham87/COVID_GAT

Graph Attention Networks

https://github.com/MichSchli/RelationPrediction

Modeling Relational Data with Graph Convolutional Networks

https://github.com/Microsoft/gated-graph-neural-network-samples

Modeling Relational Data with Graph Convolutional Networks

https://github.com/Mind23-2/MindCode-4/tree/main/gat

Graph Attention Networks

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