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06/01/2023
Task Relation-aware Continual User Representation Learning
User modeling, which learns to represent users into a low-dimensional re...
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05/30/2023
Task-Equivariant Graph Few-shot Learning
Although Graph Neural Networks (GNNs) have been successful in node class...
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05/29/2023
Shift-Robust Molecular Relational Learning with Causal Substructure
Recently, molecular relational learning, whose goal is to predict the in...
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04/29/2023
Conditional Graph Information Bottleneck for Molecular Relational Learning
Molecular relational learning, whose goal is to learn the interaction be...
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03/13/2023
Predicting Density of States via Multi-modal Transformer
The density of states (DOS) is a spectral property of materials, which p...
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11/28/2022
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis
Routine clinical visits of a patient produce not only image data, but al...
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08/21/2022
Relational Self-Supervised Learning on Graphs
Over the past few years, graph representation learning (GRL) has been a ...
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04/04/2022
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment
Despite the success of Graph Neural Networks (GNNs) on various applicati...
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12/05/2021
