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06/27/2022
A Representation Learning Framework for Property Graphs
Representation learning on graphs, also called graph embedding, has demo...
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research
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06/27/2022
Measuring and Improving the Use of Graph Information in Graph Neural Networks
Graph neural networks (GNNs) have been widely used for representation le...
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12/16/2021
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing
Graph neural networks (GNNs) have extended the success of deep neural ne...
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05/10/2021
G-Tran: Making Distributed Graph Transactions Fast
Graph transaction processing raises many unique challenges such as rando...
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11/29/2019
Pioneering Studies on LTE eMBMS: Towards 5G Point-to-Multipoint Transmissions
The first 5G (5th generation wireless systems) New Radio Release-15 was ...
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11/29/2019
Rate-Splitting for Multigroup Multicast Beamforming in Multicarrier Systems
In this paper, we consider multigroup multicast transmissions with diffe...
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11/29/2019
On the Performance of PDCCH in LTE and 5G New Radio
5G New Radio (NR) Release 15 has been specified in June 2018. It introdu...
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09/24/2018
Norm-Ranging LSH for Maximum Inner Product Search
Neyshabur and Srebro proposed Simple-LSH, which is the state-of-the-art ...
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01/13/2018