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09/14/2023
A Survey of Graph Pre-processing Methods: From Algorithmic to Hardware Perspectives
Graph-related applications have experienced significant growth in academ...
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07/24/2023
HiHGNN: Accelerating HGNNs through Parallelism and Data Reusability Exploitation
Heterogeneous graph neural networks (HGNNs) have emerged as powerful alg...
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11/10/2022
A Comprehensive Survey on Distributed Training of Graph Neural Networks
Graph neural networks (GNNs) have been demonstrated to be a powerful alg...
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09/02/2022
Rethinking Efficiency and Redundancy in Training Large-scale Graphs
Large-scale graphs are ubiquitous in real-world scenarios and can be tra...
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08/09/2022
Characterizing and Understanding HGNNs on GPUs
Heterogeneous graph neural networks (HGNNs) deliver powerful capacity in...
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07/15/2022
Multi-node Acceleration for Large-scale GCNs
Limited by the memory capacity and compute power, singe-node graph convo...
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07/06/2022
Simple and Efficient Heterogeneous Graph Neural Network
Heterogeneous graph neural networks (HGNNs) deliver the powerful capabil...
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04/18/2022
Characterizing and Understanding Distributed GNN Training on GPUs
Graph neural network (GNN) has been demonstrated to be a powerful model ...
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02/23/2022
Alleviating Datapath Conflicts and Design Centralization in Graph Analytics Acceleration
Previous graph analytics accelerators have achieved great improvement on...
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02/10/2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective
Graph neural networks (GNNs) have been a hot spot of recent research and...
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08/26/2021
GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware
Sampling is a critical operation in the training of Graph Neural Network...
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03/10/2021
Sampling methods for efficient training of graph convolutional networks: A survey
Graph Convolutional Networks (GCNs) have received significant attention ...
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09/26/2020
Rubik: A Hierarchical Architecture for Efficient Graph Learning
Graph convolutional network (GCN) emerges as a promising direction to le...
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01/28/2020
Characterizing and Understanding GCNs on GPU
Graph convolutional neural networks (GCNs) have achieved state-of-the-ar...
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01/07/2020
