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09/10/2023
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power
The ability of graph neural networks (GNNs) to count certain graph subst...
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05/24/2023
P-vectors: A Parallel-Coupled TDNN/Transformer Network for Speaker Verification
Typically, the Time-Delay Neural Network (TDNN) and Transformer can serv...
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05/08/2023
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks
Relational pooling is a framework for building more expressive and permu...
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04/20/2023
Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks
In this paper, we provide a theory of using graph neural networks (GNNs)...
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02/11/2023
Is Distance Matrix Enough for Geometric Deep Learning?
Graph Neural Networks (GNNs) are often used for tasks involving the geom...
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02/02/2023
Neural Common Neighbor with Completion for Link Prediction
Despite its outstanding performance in various graph tasks, vanilla Mess...
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11/21/2022
Sequentially Sampled Chunk Conformer for Streaming End-to-End ASR
This paper presents an in-depth study on a Sequentially Sampled Chunk Co...
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08/01/2022
Graph Neural Network with Local Frame for Molecular Potential Energy Surface
Modeling molecular potential energy surface is of pivotal importance in ...
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08/01/2022
PromotionLens: Inspecting Promotion Strategies of Online E-commerce via Visual Analytics
Promotions are commonly used by e-commerce merchants to boost sales. The...
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06/20/2022
Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction
Link prediction is one important application of graph neural networks (G...
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05/23/2022
How Powerful are Spectral Graph Neural Networks
Spectral Graph Neural Network is a kind of Graph Neural Network (GNN) ba...
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10/20/2021
