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Node Property Prediction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

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평가표

5

보존된 평가 기록

235

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/guptarohit994/ECE285_Graduate_Descent_SSD

SSD: Single Shot MultiBox Detector

https://github.com/gurkirt/AMTNet

SSD: Single Shot MultiBox Detector

https://github.com/gurkirt/realtime-action-detection

SSD: Single Shot MultiBox Detector

https://github.com/handasontam/GAT-with-edgewise-attention

Graph Attention Networks

https://github.com/hazdzz/GCN

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/hazdzz/SGC

Simplifying Graph Convolutional Networks

https://github.com/hidekazu300/test

SSD: Single Shot MultiBox Detector

https://github.com/higd963/Multi-resolution-Network-Embedding

https://github.com/hmcreamer/hackRice19

Inductive Representation Learning on Large Graphs

https://github.com/huytranvan2010/SSD

SSD: Single Shot MultiBox Detector

https://github.com/hyeamykim/GCN-related-works

GraphSAINT: Graph Sampling Based Inductive Learning Method

https://github.com/hyh21521038/ssd-plate_detection

SSD: Single Shot MultiBox Detector

https://github.com/icd-codex/icd-codex

node2vec: Scalable Feature Learning for Networks

https://github.com/icml2024357/hombasis-gnn

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/imistyrain/ssd

SSD: Single Shot MultiBox Detector

https://github.com/imistyrain/ssd-windows

SSD: Single Shot MultiBox Detector

https://github.com/inisis/caffe

SSD: Single Shot MultiBox Detector

https://github.com/isotlaboratory/ml4vrp

Inductive Representation Learning on Large Graphs

https://github.com/ivam-he/PSHGCN/tree/main/ogbn-mag

Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials

https://github.com/jack16888/caffe-ssd

SSD: Single Shot MultiBox Detector

https://github.com/jack16888/caffessd

SSD: Single Shot MultiBox Detector

https://github.com/jennyzhang0215/GaAN

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

https://github.com/jerermyyoung/AutoWeird

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/jiangboahu/glcn-tf

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/jimheaton/Ultra96_ML_Embedded_Workshop

SSD: Single Shot MultiBox Detector

https://github.com/jingsonglv/CFG

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/jiportilla/edge-max-object-detector

SSD: Single Shot MultiBox Detector

https://github.com/joaopedromattos/gnee

Graph Attention Networks

https://github.com/juliagast/tgb2

Temporal Graph Benchmark for Machine Learning on Temporal Graphs

https://github.com/kanesoban/ssd

SSD: Single Shot MultiBox Detector

https://github.com/kangyiS/caffe_ky

SSD: Single Shot MultiBox Detector

https://github.com/kfx7577/Caffe_VehicleCounter

SSD: Single Shot MultiBox Detector

https://github.com/kiharalab/gnn_pocket

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/konny0311/ssd_trial

SSD: Single Shot MultiBox Detector

https://github.com/kracr/document-level-relation-extraction

Modeling Relational Data with Graph Convolutional Networks

https://github.com/krstevskipetar/SSDLite320-MobileNetV3-object-detection

SSD: Single Shot MultiBox Detector

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