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Dynamic graph modeling is crucial for understanding complex structures in web graphs, spanning applications in social networks, recommender systems, and more.
Language models are few-shot learners
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Do We Really Need Complicated Model Architectures For Temporal Networks?. In The Eleventh International Conference on Learning Representations
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HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning
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MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs
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Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting
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