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zwt233 avatar zwt233 commented on June 7, 2024

From this code, we know that SGAP is a fundamental framework of this paper, and SGC is constructed based on this framework, am I right?

Yes, we adopt the scalable design paradigm (SGAP) in our GNN architecture design. Based on SGAP, we have implemented many scalable GNNs (including SGC) in https://github.com/PKU-DAIR/SGL/tree/main/sgl/models.
Besides, PASCA-V1(V2, V3) are searched by our system with the multiple objectives (i.e., predictive accuracy and inference time), and we will add the support of these three scalable models ASAP.

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talentedx avatar talentedx commented on June 7, 2024

From this code, we know that SGAP is a fundamental framework of this paper, and SGC is constructed based on this framework, am I right?

Yes, we adopt the scalable design paradigm (SGAP) in our GNN architecture design. Based on SGAP, we have implemented many scalable GNNs (including SGC) in https://github.com/PKU-DAIR/SGL/tree/main/sgl/models. Besides, PASCA-V1(V2, V3) are searched by our system with the multiple objectives (i.e., predictive accuracy and inference time), and we will add the support of these three scalable models ASAP.

OK, I am looking forward to the updated SGL including PASCA-V1, V2, V3.

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zwt233 avatar zwt233 commented on June 7, 2024

From this code, we know that SGAP is a fundamental framework of this paper, and SGC is constructed based on this framework, am I right?

Yes, we adopt the scalable design paradigm (SGAP) in our GNN architecture design. Based on SGAP, we have implemented many scalable GNNs (including SGC) in https://github.com/PKU-DAIR/SGL/tree/main/sgl/models. Besides, PASCA-V1(V2, V3) are searched by our system with the multiple objectives (i.e., predictive accuracy and inference time), and we will add the support of these three scalable models ASAP.

OK, I am looking forward to the updated SGL including PASCA-V1, V2, V3.

Thanks for your attention! Implementing scalable GNNs with SGL is quite simple with our pre-defined operators, and we will continuously add more scalable GNN models for both homogeneous and heterogeneous graphs.

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