Pinned Loading

1. GraphACT GraphACT Public

   Implementation of paper "GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platform".

   Verilog 10

2. C-MemMAP C-MemMAP Public

   Forked from pengmiao-usc/C-MemMAP

   C-MemMAP: Clustering-driven Compact, Adaptable, and Generalizable Meta-LSTM Models for Memory Access Prediction

   Python 3

3. FGYM FGYM Public

   Demonstrating the usage of FGYM: A Toolkit for benchmarking FPGA-accelerated Reinforcement Learning

   C++

4. GraphSAINT GraphSAINT Public

   Forked from GraphSAINT/GraphSAINT

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

   Python 1

5. ARGO ARGO Public

   Forked from jasonlin316/ARGO

   Official implementation of ARGO, an auto-tuning runtime system for GNN training on CPU.

   Python

6. shaDow_GNN shaDow_GNN Public

   Forked from facebookresearch/shaDow_GNN

   We have implemented shaDow-GNN as a general and powerful pipeline for graph representation learning. For more details, please find our paper titled Deep Graph Neural Networks with Shallow Subgraph …

   Python