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Dynamic Node Classification
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node classification on temporal graphs
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
Dynamic Spiking Framework for Graph Neural Networks
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning
DyG2Vec: Efficient Representation Learning for Dynamic Graphs
GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs
ConTIG: Continuous Representation Learning on Temporal Interaction Graphs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.