Papers with Code 아카이브

Link Property Prediction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

6

보존된 평가 기록

160

코드

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

https://github.com/dmlc/dgl/tree/master/examples/pytorch/graphsaint

GraphSAINT: Graph Sampling Based Inductive Learning Method

https://github.com/dmlc/dgl/tree/master/examples/pytorch/node2vec

node2vec: Scalable Feature Learning for Networks

https://github.com/dmlc/dgl/tree/master/examples/pytorch/seal

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning

https://github.com/dmlc/dgl/tree/master/examples/tensorflow/gcn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/eliorc/node2vec

node2vec: Scalable Feature Learning for Networks

https://github.com/emartinezs44/SparkGCN

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/erfmah/answering_graph_queries

Inductive Representation Learning on Large Graphs

https://github.com/facebookresearch/PyTorch-BigGraph

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

https://github.com/fahrbach/icml-2020-faster-graph-embeddings

node2vec: Scalable Feature Learning for Networks

https://github.com/fanzhenliu/dagad

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/fs302/EasyLink

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

https://github.com/fs302/EasyLink/blob/main/example/ogbl_ppa_ra.py

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

https://github.com/gen3111620/DeepWalk

DeepWalk: Online Learning of Social Representations

https://github.com/giuseppefutia/semi

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

https://github.com/hazdzz/GCN

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/hmcreamer/hackRice19

Inductive Representation Learning on Large Graphs

https://github.com/hughxiouge/CompoundE3D

Knowledge Graph Embedding with 3D Compound Geometric Transformations

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

GraphSAINT: Graph Sampling Based Inductive Learning Method

https://github.com/hzli-ucas/StarGraph

StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph

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/iesl/geometric_graph_embedding

Complex Embeddings for Simple Link Prediction

https://github.com/isotlaboratory/ml4vrp

Inductive Representation Learning on Large 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/jiean001/models_m/tree/main/rotate

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

https://github.com/jingsonglv/CFG

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/jingsonglv/PSG

Path-aware Siamese Graph Neural Network for Link Prediction

https://github.com/kiharalab/gnn_pocket

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/lbn187/DLGNN

https://github.com/leihuayi/NetworkEmbedding

DeepWalk: Online Learning of Social Representations

https://github.com/lightaime/deep_gcns_torch/tree/master/examples/ogb_eff/ogbn_arxiv_dgl

DeeperGCN: All You Need to Train Deeper GCNs

https://github.com/lipingcoding/pygcn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/lt610/GraphSaint

GraphSAINT: Graph Sampling Based Inductive Learning Method

https://github.com/mahendrathapa/graph-convolution-network

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/mahequn001/graphlearning/tree/master/model_zoo/gcn

Semi-Supervised Classification with Graph Convolutional Networks

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