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/pessimiss/ai100-w8-master

SSD: Single Shot MultiBox Detector

https://github.com/pierluigiferrari/ssd_keras

SSD: Single Shot MultiBox Detector

https://github.com/pmlg/pytorch_GCN

Inductive Representation Learning on Large Graphs

https://github.com/poel22/covproject

SSD: Single Shot MultiBox Detector

https://github.com/predict-idlab/RR-GCN

Modeling Relational Data with Graph Convolutional Networks

https://github.com/printfer/CS6490_NetworkSecurity_FinalProject

node2vec: Scalable Feature Learning for Networks

https://github.com/pyg-team/pytorch_geometric/blob/master/torch_geometric/nn/models/basic_gnn.py

Inductive Representation Learning on Large Graphs

https://github.com/pytorch/vision

SSD: Single Shot MultiBox Detector

https://github.com/qema/orca-py

Inductive Representation Learning on Large Graphs

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

SSD: Single Shot MultiBox Detector

https://github.com/qitianwu/nodeformer

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

https://github.com/rahulguptagzb09/Video-Object-Detection-Using-SSD

SSD: Single Shot MultiBox Detector

https://github.com/raisinglc/object_detection_SSD

SSD: Single Shot MultiBox Detector

https://github.com/rajatashhpa/1

SSD: Single Shot MultiBox Detector

https://github.com/rajs25/Object-Detection

SSD: Single Shot MultiBox Detector

https://github.com/ravi0531rp/DeepDrive

SSD: Single Shot MultiBox Detector

https://github.com/razrLeLe/fastwalk

node2vec: Scalable Feature Learning for Networks

https://github.com/rfribeiro/face_detection

SSD: Single Shot MultiBox Detector

https://github.com/rfribeiro/face_detection_landmarks

SSD: Single Shot MultiBox Detector

https://github.com/rishabmallick/Sign-language-live-predictor

SSD: Single Shot MultiBox Detector

https://github.com/rusty1s/pytorch_cluster

node2vec: Scalable Feature Learning for Networks

https://github.com/rusty1s/pytorch_geometric/blob/master/torch_geometric/nn/conv/gatv2_conv.py

How Attentive are Graph Attention Networks?

https://github.com/rykov8/ssd_keras

SSD: Single Shot MultiBox Detector

https://github.com/saimj7/People-Counting-in-Real-Time

SSD: Single Shot MultiBox Detector

https://github.com/samo1petar/SSD

SSD: Single Shot MultiBox Detector

https://github.com/sangyx/gtrick/tree/main/benchmark/pyg

Robust Optimization as Data Augmentation for Large-scale Graphs

https://github.com/saunack/MobileNetv2-SSD

SSD: Single Shot MultiBox Detector

https://github.com/scrambleegg7/ssd_prescription

SSD: Single Shot MultiBox Detector

https://github.com/selmiss/gp-tlstgcn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/serengil/deepface

SSD: Single Shot MultiBox Detector

https://github.com/sgrvinod/a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector

https://github.com/shenweichen/GraphEmbedding

node2vec: Scalable Feature Learning for Networks

https://github.com/shenweichen/GraphNeuralNetwork

Graph Attention Networks

https://github.com/shenyunhang/caffe-fwsl

SSD: Single Shot MultiBox Detector

https://github.com/shi27feng/transformers.satisfy

Graph Attention Networks

https://github.com/shijx12/kqapro_baselines

Modeling Relational Data with Graph Convolutional Networks

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