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03/29/2023
When to Pre-Train Graph Neural Networks? An Answer from Data Generation Perspective!
Recently, graph pre-training has attracted wide research attention, whic...
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09/30/2022
Prompt Tuning for Graph Neural Networks
In recent years, prompt tuning has set off a research boom in the adapta...
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04/21/2022
DropMessage: Unifying Random Dropping for Graph Neural Networks
Graph Neural Networks (GNNs) are powerful tools for graph representation...
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12/12/2020
Query-free Black-box Adversarial Attacks on Graphs
Many graph-based machine learning models are known to be vulnerable to a...
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12/04/2020
Unsupervised Adversarially-Robust Representation Learning on Graphs
Recent works have demonstrated that deep learning on graphs is vulnerabl...
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04/30/2019
Learning Fair Representations via an Adversarial Framework
Fairness has become a central issue for our research community as classi...
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11/28/2018