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/willyfh/graph-transformer

Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

https://github.com/wj1tr0y/SSD

SSD: Single Shot MultiBox Detector

https://github.com/wk738126046/deploy

SSD: Single Shot MultiBox Detector

https://github.com/xTRam1/Object-Detection-on-Custom-Dataset

SSD: Single Shot MultiBox Detector

https://github.com/xavierzw/gnn-bs

Bandit Samplers for Training Graph Neural Networks

https://github.com/xiaohaoChen/rrc_detection

SSD: Single Shot MultiBox Detector

https://github.com/xingsumq/us-defake

GraphSAINT: Graph Sampling Based Inductive Learning Method

https://github.com/xiuyu0000/papers_with_examples/tree/main/case_10_ssd300_mobilenetv2_voc2012_detection

SSD: Single Shot MultiBox Detector

https://github.com/xiuyu0000/vision/blob/main/mindvision/msdetection/models/ssd.py

SSD: Single Shot MultiBox Detector

https://github.com/xnuohz/CorrectAndSmooth-dgl

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

https://github.com/xnuohz/DeeperGCN-dgl

DeeperGCN: All You Need to Train Deeper GCNs

https://github.com/xnuohz/jknet-dgl

Representation Learning on Graphs with Jumping Knowledge Networks

https://github.com/xyfer17/ssd-caffe

SSD: Single Shot MultiBox Detector

https://github.com/xyznlp/trans

Open Graph Benchmark: Datasets for Machine Learning on Graphs

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

SSD: Single Shot MultiBox Detector

https://github.com/yCobanoglu/infinite-width-gnns

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/yangjun1994/CAGCN

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/yangyucheng000/Papers/tree/main/MindSpore-Retrieval-augmented

Modeling Relational Data with Graph Convolutional Networks

https://github.com/yanhuchen/quantum-graph-convolutional-network

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/yczhang1017/SSD_resnet_pytorch

SSD: Single Shot MultiBox Detector

https://github.com/ydtydr/hyla

Simplifying Graph Convolutional Networks

https://github.com/ydzhang-stormstout/HAT

Graph Attention Networks

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

SSD: Single Shot MultiBox Detector

https://github.com/ykrmm/sota_gnn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/yqyao/ssd.pytorch

SSD: Single Shot MultiBox Detector

https://github.com/ytbai/ogbn_arxiv_dgl

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/ytchx1999/GCN_res-CS-v2

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

https://github.com/ytchx1999/GCN_res-FLAG

Robust Optimization as Data Augmentation for Large-scale Graphs

https://github.com/ytchx1999/PyG-GCN_res-CS

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

https://github.com/ytchx1999/PyG-OGB-Tricks/tree/main/DGL-ogbn-arxiv

Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks

https://github.com/ytchx1999/PyG-OGB-Tricks/tree/main/DGL-ogbn-proteins

Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks

https://github.com/yuhsijen/Object-Detector

SSD: Single Shot MultiBox Detector

https://github.com/yuhsuanlin23130/Vehicle-Detection-2019

SSD: Single Shot MultiBox Detector

https://github.com/yuqj1990/caffe_deeplearning_train

SSD: Single Shot MultiBox Detector

https://github.com/yuqj1990/caffe_train

SSD: Single Shot MultiBox Detector

https://github.com/yuqj1990/deepano_face_train

SSD: Single Shot MultiBox Detector

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