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07/24/2023
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
We investigate various prompting strategies for enhancing personalized r...
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02/02/2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference
This paper presents GraphAGILE, a domain-specific FPGA-based overlay acc...
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06/17/2022
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform
Mini-batch inference of Graph Neural Networks (GNNs) is a key problem in...
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01/19/2022
Decoupling the Depth and Scope of Graph Neural Networks
State-of-the-art Graph Neural Networks (GNNs) have limited scalability w...
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05/10/2021
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning
Graph Neural Networks (GNNs) are proven to be powerful models to generat...
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12/02/2020
Deep Graph Neural Networks with Shallow Subgraph Samplers
While Graph Neural Networks (GNNs) are powerful models for learning repr...
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10/05/2020
Accurate, Efficient and Scalable Training of Graph Neural Networks
Graph Neural Networks (GNNs) are powerful deep learning models to genera...
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12/31/2019
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms
Graph Convolutional Networks (GCNs) have emerged as the state-of-the-art...
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10/16/2019
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs
To accelerate inference of Convolutional Neural Networks (CNNs), various...
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07/10/2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
Graph Convolutional Networks (GCNs) are powerful models for learning rep...
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10/28/2018
