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05/10/2023
Dynamic Graph Representation Learning for Depression Screening with Transformer
Early detection of mental disorder is crucial as it enables prompt inter...
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05/03/2023
Rethinking Graph Lottery Tickets: Graph Sparsity Matters
Lottery Ticket Hypothesis (LTH) claims the existence of a winning ticket...
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08/15/2022
Multi-modal Transformer Path Prediction for Autonomous Vehicle
Reasoning about vehicle path prediction is an essential and challenging ...
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04/02/2022
RFID-Based Indoor Spatial Query Evaluation with Bayesian Filtering Techniques
People spend a significant amount of time in indoor spaces (e.g., office...
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10/14/2021
sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs
Recent advancements in Graph Neural Networks have led to state-of-the-ar...
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12/22/2020
Deep Multi-attribute Graph Representation Learning on Protein Structures
Graphs as a type of data structure have recently attracted significant a...
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08/28/2019
SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension
A natural language interface (NLI) to databases is an interface that tra...
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11/28/2018
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
Despite excellent performance on stationary test sets, deep neural netwo...
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09/07/2018
A Transfer-Learnable Natural Language Interface for Databases
Relational database management systems (RDBMSs) are powerful because the...
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01/22/2018
Adversarial Texts with Gradient Methods
Adversarial samples for images have been extensively studied in the lite...
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04/17/2017
