ENTITY
Graph Prompt Learning
Graph Prompt Learning
PulseAugur coverage of Graph Prompt Learning — every cluster mentioning Graph Prompt Learning across labs, papers, and developer communities, ranked by signal.
Total · 30d
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2 over 90d
Releases · 30d
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0 over 90d
Papers · 30d
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2 over 90d
TIER MIX · 90D
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RECENT · PAGE 1/1 · 2 TOTAL
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GP2F method enhances cross-domain graph neural network adaptation
Researchers have introduced GP2F, a novel method for cross-domain graph prompting that aims to improve the adaptation of pre-trained graph neural networks to new tasks. The method is based on theoretical analysis showin…
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Researchers develop new method for cross-paradigm graph backdoor attacks using promptable subgraph triggers.
Researchers have developed a new method called Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers (CP-GBA) to address vulnerabilities in Graph Neural Networks (GNNs). Existing attacks are often limi…