Picture for Baichuan Yuan

Baichuan Yuan

Do We Really Need Complicated Model Architectures For Temporal Networks?

Add code
Feb 22, 2023
Figure 1 for Do We Really Need Complicated Model Architectures For Temporal Networks?
Figure 2 for Do We Really Need Complicated Model Architectures For Temporal Networks?
Figure 3 for Do We Really Need Complicated Model Architectures For Temporal Networks?
Figure 4 for Do We Really Need Complicated Model Architectures For Temporal Networks?
Viaarxiv icon

Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits

Add code
Oct 24, 2021
Figure 1 for Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
Figure 2 for Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
Figure 3 for Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
Figure 4 for Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
Viaarxiv icon

Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction

Add code
Nov 15, 2018
Figure 1 for Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction
Figure 2 for Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction
Figure 3 for Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction
Figure 4 for Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction
Viaarxiv icon

Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data

Add code
Apr 02, 2018
Figure 1 for Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data
Figure 2 for Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data
Figure 3 for Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data
Figure 4 for Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data
Viaarxiv icon