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/1075225782/GCN

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/111qqz/caffe-ssd

SSD: Single Shot MultiBox Detector

https://github.com/2023-MindSpore-1/ms-code-11/tree/main/gcn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/2023-MindSpore-1/ms-code-32

SSD: Single Shot MultiBox Detector

https://github.com/2023-MindSpore-4/Code10/tree/main/SSD

SSD: Single Shot MultiBox Detector

https://github.com/30Aniket/Graph-Convolutional-Networks-GCNs

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/404nofound/gat

Graph Attention Networks

https://github.com/4pygmalion/GAT_tensorflow

Graph Attention Networks

https://github.com/AVAuco/ssd_people

SSD: Single Shot MultiBox Detector

https://github.com/AbhinavJhanwar/object-detection-classification

SSD: Single Shot MultiBox Detector

https://github.com/AmirDavoodi/Hand-Gestures-Human-Robot-Interaction

SSD: Single Shot MultiBox Detector

https://github.com/Anak2016/GAT

Graph Attention Networks

https://github.com/Ander02/FaceRecognition

SSD: Single Shot MultiBox Detector

https://github.com/Andrew-Qibin/ssdlite-pytorch

SSD: Single Shot MultiBox Detector

https://github.com/AndyJZhao/GLEM

Learning on Large-scale Text-attributed Graphs via Variational Inference

https://github.com/AngusMonroe/GAT-pytorch

Graph Attention Networks

https://github.com/Anou9531/GAT

Graph Attention Networks

https://github.com/Arvidsmile/InductiveDialogueGraph

Inductive Representation Learning on Large Graphs

https://github.com/Aveek-Saha/Graph-Attention-Net

Graph Attention Networks

https://github.com/BIG-S2/keras-gnm

Graph Attention Networks

https://github.com/CV-deeplearning/caffe

SSD: Single Shot MultiBox Detector

https://github.com/ChengSashankh/trying-GAT

Graph Attention Networks

https://github.com/ChengyuSun/gat

Graph Attention Networks

https://github.com/Chillee/CorrectAndSmoothOGB

Combining Label Propagation and Simple Models Out-performs Graph Neural Networks

https://github.com/Chubbyman2/SSD_MobileNet_Hand_Tracker

SSD: Single Shot MultiBox Detector

https://github.com/ChujoHiroto/tensorflow-ssd

SSD: Single Shot MultiBox Detector

https://github.com/ChunML/ssd-tf2

SSD: Single Shot MultiBox Detector

https://github.com/ColdenChan/GAT_D

Graph Attention Networks

https://github.com/Coldmooon/SSD-on-Custom-Dataset

SSD: Single Shot MultiBox Detector

https://github.com/Cosmos218/ssd-caffe

SSD: Single Shot MultiBox Detector

https://github.com/CurryTang/Graph-LLM

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

https://github.com/CycloneBoy/PPDetectionPytorch

SSD: Single Shot MultiBox Detector

https://github.com/DChaushev/Age-Gender-Recognition

SSD: Single Shot MultiBox Detector

https://github.com/Deci-AI/super-gradients

SSD: Single Shot MultiBox Detector

https://github.com/Diego999/pyGAT

Graph Attention Networks

https://github.com/Eljefemasao/Customed-Object-Detector

SSD: Single Shot MultiBox Detector

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