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Heterogeneous Node Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Node classification in heterogeneous graphs, where nodes and/or edges have multiple types.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network
Efficient Heterogeneous Graph Learning via Random Projection
Simple and Efficient Heterogeneous Graph Neural Network
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks
Scalable Graph Neural Networks for Heterogeneous Graphs
Heterogeneous Graph Transformer
An Attention-based Graph Neural Network for Heterogeneous Structural Learning
Non-local Attention Learning on Large Heterogeneous Information Networks
Heterogeneous Deep Graph Infomax
Graph Transformer Networks
Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis
Graph Attention Networks
Modeling Relational Data with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.