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07/25/2023
XDLM: Cross-lingual Diffusion Language Model for Machine Translation
Recently, diffusion models have excelled in image generation tasks and h...
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05/05/2023
HiPool: Modeling Long Documents Using Graph Neural Networks
Encoding long sequences in Natural Language Processing (NLP) is a challe...
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10/21/2022
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences
Efficient Transformers have been developed for long sequence modeling, d...
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10/06/2022
A Quantitative Theory of Bottleneck Structures for Data Networks
The conventional view of the congestion control problem in data networks...
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07/09/2022
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting
Traffic flow forecasting on graphs has real-world applications in many f...
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01/03/2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
Graph kernels are historically the most widely-used technique for graph ...
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10/28/2021
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution
Space-time video super-resolution (STVSR) aims to construct a high space...
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03/02/2020
