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/tkipf/gae

Modeling Relational Data 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/tlmakinen/GAT-noise

Graph Attention Networks

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

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/tolotrasamuel/real-time-object-detection-retraining-ncs-raspberry-pi

SSD: Single Shot MultiBox Detector

https://github.com/toooooodo/rgcn-linkprediction

Modeling Relational Data with Graph Convolutional Networks

https://github.com/toseek01/eyebird

SSD: Single Shot MultiBox Detector

https://github.com/tryolabs/luminoth

SSD: Single Shot MultiBox Detector

https://github.com/tsunekoromochi/ssd

SSD: Single Shot MultiBox Detector

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/tyxxzjpdez/GCNII-DropGroups

Simple and Deep Graph Convolutional Networks

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/uvipen/ssd-pytorch

SSD: Single Shot MultiBox Detector

https://github.com/vailatuts/SSFG-regularization

Graph Attention Networks

https://github.com/valentina-kustikova/dnn-object-detectors-comp

SSD: Single Shot MultiBox Detector

https://github.com/vandangorade/BrandLOGO_detection

SSD: Single Shot MultiBox Detector

https://github.com/vermouthdky/SimTeG

SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

https://github.com/victordibia/handtracking

SSD: Single Shot MultiBox Detector

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

SSD: Single Shot MultiBox Detector

https://github.com/vita-epfl/rock-pytorch

SSD: Single Shot MultiBox Detector

https://github.com/vivek20dadhich/deep-learning-object-detection

SSD: Single Shot MultiBox Detector

https://github.com/wan2000/mc-mot

Graph Attention Networks

https://github.com/wangkingkingking/ssd_mathocr

SSD: Single Shot MultiBox Detector

https://github.com/wangrui1996/caffe-ssd

SSD: Single Shot MultiBox Detector

https://github.com/watarus0208/ssd_keras

SSD: Single Shot MultiBox Detector

https://github.com/wayne1204/NOAA-fish-finding

SSD: Single Shot MultiBox Detector

https://github.com/weidi1024/caffe-ssd-correct

SSD: Single Shot MultiBox Detector

https://github.com/weiyangfb/PyTorchSparseGAT

Graph Attention Networks

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/whut2962575697/gat_sementic_segmentation

Graph Attention Networks

https://github.com/willy-b/tiny-GIN-for-ogbg-molhiv

Representation Learning on Graphs with Jumping Knowledge Networks

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