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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/igorsterner/commute-opt-gnn

https://github.com/imoonlab/hyper-yolo

https://github.com/ipolharvard/readmit-stgnn

https://github.com/isotlaboratory/ml4vrp

https://github.com/j-adamczyk/MOLTOP

https://github.com/jacquesboitreaud/DeepFRED

https://github.com/jacquesboitreaud/rna_ne

https://github.com/jajupmochi/graphkit-learn

https://github.com/jajupmochi/py-graph

https://github.com/jiangboahu/glcn-tf

https://github.com/jiangshunyu/SMF-GIN

https://github.com/jinfeng-xu/fkan-gcf

https://github.com/joanbruna/GNN_community

https://github.com/joaopedromattos/gnee

https://github.com/josefhoppe/cwn-random-ccs

https://github.com/josephjwilson/cayley_graph_propagation

https://github.com/jwzhanggy/isocapsnet

https://github.com/k4my4r/ECG-Classification

https://github.com/kiharalab/gnn_pocket

https://github.com/kingcong/alexnet

https://github.com/kracr/document-level-relation-extraction

https://github.com/labmlai/annotated_deep_learning_paper_implementations

https://github.com/lars-research/pas-ogb

https://github.com/leemingo/cy2mixer

https://github.com/leffff/any-domain-pretrain-gnns

https://github.com/leojklarner/gauche

https://github.com/liketheflower/jimmy_dgl

https://github.com/linmengsysu/IsoNN

https://github.com/linusbao/MoSE

https://github.com/lipingcoding/pygcn

https://github.com/liu6zijian/simplified-gcn-model

https://github.com/long-9621/splinecnn

https://github.com/lsj2408/GraphNorm

https://github.com/lucapantea/LightGCN

https://github.com/luis-mueller/wl-transformers

https://github.com/luxtu/OCTA-graph