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07/04/2023
All in One: Multi-task Prompting for Graph Neural Networks
Recently, ”pre-training and fine-tuning” has been adopted as a standard ...
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12/22/2022
Self-supervised Hypergraph Representation Learning for Sociological Analysis
Modern sociology has profoundly uncovered many convincing social criteri...
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07/01/2022
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning
Graph contrastive learning has emerged as a powerful tool for unsupervis...
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01/20/2022
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
Graph contrastive learning is the state-of-the-art unsupervised graph re...
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06/02/2020
