Abstract: Node classification utilizing text-based node attributes has many real-world applications, ranging from prediction of paper topics in academic citation graphs to classification of user ...
Abstract: Self-supervised graph embedding has emerged as a powerful paradigm for learning expressive node and graph representations without relying on real labels. Several recent self-supervised ...
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