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followers: 29.0 following: 0.0 repos: 3.0 gists: 0.0

Name: Scalable GRL

Type: User

Company: University of Southern California

Bio: Goal: to improve the scalability of graph representation learning by algorithm and architecture innovations.

Location: Los Angeles, USA

Scalable GRL's Projects

gnn-arch

[ASAP 2020; FPGA 2020] Hardware architecture to accelerate GNNs (common IP modules for minibatch training and full batch inference)

graphact

[FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms"

graphsaint

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

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