Scalable GRL (@GraphSAINT)
github

GraphSAINT

Twitter logo Share LinkedIn logo Share Facebook logo Share
  • Stars
    star
    500
  • Global Rank 57,495 (Top 2 %)
  • Followers 28
  • Registered over 5 years ago
  • Most used languages
    Python
         66.7 %
    Verilog     33.3 %
  • Location πŸ‡ΊπŸ‡Έ United States
  • Country Total Rank 15,977
  • Country Ranking
    Verilog     100
    Python
         2,711

Top repositories

1

GraphSAINT

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
Python
467
star
2

GNN-ARCH

[ASAP 2020; FPGA 2020] Hardware architecture to accelerate GNNs (common IP modules for minibatch training and full batch inference)
Verilog
41
star
3

GraphACT

[FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms"
Python
17
star