Papers with Code 아카이브
Node Property Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/millanp95/OFTracker
https://github.com/mindspore-ai/models/tree/master/official/cv/ssd
https://github.com/mindspore-ai/models/tree/master/official/gnn/gat
https://github.com/mindspore-ai/models/tree/master/research/cv/ssd_resnet50
https://github.com/minhhuu291/Logo-Recognition
https://github.com/miteshksingh/SimplifiedYOLO
https://github.com/mitya8128/experiments_notes
https://github.com/ml-inory/Caffe
https://github.com/mlzxzhou/keras-gnm
https://github.com/monarch-initiative/embiggen
https://github.com/mori97/JKNet-dgl
Representation Learning on Graphs with Jumping Knowledge Networks
https://github.com/naoya0731/deepmosaic
https://github.com/naoya0731/deepmozaik_sample
https://github.com/nasirtrekker/personcounter
https://github.com/negarhdr/PGCN
Semi-Supervised Classification with Graph Convolutional Networks
https://github.com/nieci2024/pyglcn
Semi-Supervised Classification with Graph Convolutional Networks
https://github.com/nikhilsid/CV_HW5
https://github.com/nirajdevpandey/Object-detection-and-localization-using-SSD-
https://github.com/nirajdpandey/Object-detection-and-localization-using-SSD
https://github.com/nnaakkaaii/g2-MLP
Semi-Supervised Classification with Graph Convolutional Networks
https://github.com/noahtren/Graph-Attention-Networks-TensorFlow-2
https://github.com/nope0124/ssd_keras_hisakawa
https://github.com/nsom/ssd
https://github.com/nutintin/Robotic_SP2019
https://github.com/object-detection-algorithm/SSD
https://github.com/olety/TIMLinUCB
https://github.com/open-mmlab/mmdetection
https://github.com/opencv/openvino_training_extensions
https://github.com/openvinotoolkit/training_extensions
https://github.com/orion-wyc/gaga
Bag of Tricks for Node Classification with Graph Neural Networks
https://github.com/parkererickson/crunchBaseGraph
https://github.com/paulwarkentin/tf-ssd-vgg
https://github.com/pengsl-lab/mssl
https://github.com/pengsl-lab/mssl2drug
https://github.com/pesong/ssd-caffe
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.