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Graph Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 3
평가표: 72
보존된 평가 기록: 808

Graph Classification is a task that involves classifying a graph-structured data into different classes or categories. Graphs are a powerful way to represent relationships and interactions between different entities, and graph classification can be applied to a wide range of applications, such as social network analysis, bioinformatics, and recommendation systems. In graph classification, the input is a graph, and the goal is to learn a classifier that can accurately predict the class of the graph.

<span style="color:grey; opacity: 0.6">( Image credit: Hierarchical Graph Pooling with Structure Learning )</span>

코드

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

Graph Classification

코드

https://github.com/fransou/is-meta-learning-necessary

https://github.com/fseiffarth/gnn-comparison

https://github.com/galkampel/HyperNetworks

https://github.com/gayanku/FDGATII

https://github.com/gbouritsas/gsn

https://github.com/gchaperon/alexnet

https://github.com/gcucurull/jax-gat

https://github.com/gear/graph-homomorphism-network

https://github.com/genki-kusano/python-pwgk

https://github.com/giuseppefutia/link-prediction-code

https://github.com/giuseppefutia/semi

https://github.com/gmum/umwpl2021

https://github.com/gnn4dr/DRKG

https://github.com/google-research/google-research/tree/master/graph_embedding/ddgk

https://github.com/gordicaleksa/pytorch-GAT

https://github.com/gospodima/extended-simgnn

https://github.com/graph-star-team/graph_star

https://github.com/graphcore/ogb-lsc-pcqm4mv2

https://github.com/gsl-benchmark/gslb

https://github.com/guillaumejaume/tuto-dl-on-graphs

https://github.com/gusye1234/LightGCN-PyTorch

https://github.com/hadarser/ProvablyPowerfulGraphNetworks

https://github.com/hadarser/ProvablyPowerfulGraphNetworks_torch

https://github.com/halimiqi/CD-ATTACK

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

https://github.com/harel147/REFine

https://github.com/hazdzz/GCN

https://github.com/hengruizhang98/InfoGraph

https://github.com/hengruizhang98/mvgrl

https://github.com/hld67890/prml2020_pj

https://github.com/hmcreamer/hackRice19

https://github.com/hping666/HSDAG

https://github.com/huawei-noah/BGCN

https://github.com/hujilin1229/gUNet

https://github.com/hustwutao/Deep-Clustering

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