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/mahsa91/GKD

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/mahsa91/RA-GCN

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/massquantity/LibRecommender

Inductive Representation Learning on Large Graphs

https://github.com/maysambehmanesh/SGCL

GraphSAINT: Graph Sampling Based Inductive Learning Method

https://github.com/meliketoy/graph-cnn.pytorch

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/migalkin/NodePiece/tree/main/ogb

NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs

https://github.com/mindspore-ai/models/tree/master/research/nlp/rotate

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

https://github.com/monarch-initiative/embiggen

node2vec: Scalable Feature Learning for Networks

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/ninoxjy/graph-embedding

DeepWalk: Online Learning of Social Representations

https://github.com/nnaakkaaii/g2-MLP

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/oj9040/GraphSAGE_RL

DeepWalk: Online Learning of Social Representations

https://github.com/olety/TIMLinUCB

node2vec: Scalable Feature Learning for Networks

https://github.com/omri1348/LRGA

Global Attention Improves Graph Networks Generalization

https://github.com/omri1348/LRGA/tree/master/ogb/examples/linkproppred

Global Attention Improves Graph Networks Generalization

https://github.com/phanein/deepwalk

DeepWalk: Online Learning of Social Representations

https://github.com/pmlg/pytorch_GCN

Inductive Representation Learning on Large Graphs

https://github.com/printfer/CS6490_NetworkSecurity_FinalProject

DeepWalk: Online Learning of Social Representations

https://github.com/pyg-team/pytorch_geometric/blob/2947af7733d87315a9218a0bfabbfda10b595f0e/torch_geometric/nn/kge/complex.py

Complex Embeddings for Simple Link Prediction

https://github.com/pyg-team/pytorch_geometric/blob/master/torch_geometric/nn/kge/distmult.py

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

https://github.com/pyg-team/pytorch_geometric/blob/master/torch_geometric/nn/kge/rotate.py

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

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/pykeen/ilpc2022

NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs

https://github.com/pykeen/pykeen

Complex Embeddings for Simple Link Prediction

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

Inductive Representation Learning on Large Graphs

https://github.com/qitianwu/nodeformer

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

https://github.com/razrLeLe/fastwalk

node2vec: Scalable Feature Learning for Networks

https://github.com/rforgione/deepwalk

DeepWalk: Online Learning of Social Representations

https://github.com/rusty1s/pytorch_cluster

node2vec: Scalable Feature Learning for Networks

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

Edge Proposal Sets for Link Prediction

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

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/shenweichen/GraphEmbedding

DeepWalk: Online Learning of Social Representations

https://github.com/silent-code/deep-trace

Inductive Representation Learning on Large Graphs

https://github.com/skepsun/SAGN_with_SLE

Adaptive Graph Diffusion Networks

https://github.com/snap-stanford/ConE

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

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