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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/muhanzhang/NestedGNN

https://github.com/nathann3/better_than_netflix_movie_recommender

https://github.com/ncfrey/litmatter

https://github.com/negarhdr/PGCN

https://github.com/nieci2024/pyglcn

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

https://github.com/noahtren/Graph-Attention-Networks-TensorFlow-2

https://github.com/npurg/faknow

https://github.com/nslab-cuk/community-aware-graph-transformer

https://github.com/nslab-cuk/halal-or-not

https://github.com/nslab-cuk/literalkg

https://github.com/open-mmlab/mmpose

https://github.com/p-haddadian/MAGPool

https://github.com/parkererickson/crunchBaseGraph

https://github.com/pengsl-lab/mssl

https://github.com/pengsl-lab/mssl2drug

https://github.com/pfnet-research/treewidth-prediction

https://github.com/pmlg/pytorch_GCN

https://github.com/predict-idlab/RR-GCN

https://github.com/psp3dcg/gsapool

https://github.com/pulkit1joshi/SimGNN

https://github.com/pwc-1/Paper-9/tree/main/6/Alexnet-ABeffect/test50_feature

https://github.com/pyg-team/pytorch_geometric/blob/master/torch_geometric/nn/models/basic_gnn.py

https://github.com/pygcl/pygcl

https://github.com/pykeen/ilpc2022

https://github.com/pytorch/vision

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

https://github.com/realmoana/proxyexplainer

https://github.com/rflamary/POT

https://github.com/rohand24/GraphCNN_evolution

https://github.com/rusty1s/pytorch_cluster

https://github.com/rusty1s/pytorch_geometric/blob/master/torch_geometric/nn/conv/gatv2_conv.py

https://github.com/rusty1s/pytorch_spline_conv

https://github.com/samgoldman97/ms-pred

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

https://github.com/sauln/persim