Information Diffusion Prediction via Cascade-Retrieved In-context Learning

Author:

Zhong Ting1ORCID,Zhang Jienan2ORCID,Cheng Zhangtao3ORCID,Zhou Fan4ORCID,Chen Xueqin5ORCID

Affiliation:

1. University of Electronic Science and Technology of China & Kash Institute of Electronics and Information Industry, Chengdu, Sichuan, China

2. University of Electronic Science and Technology of China, Chengdu, Sichuan, China

3. University of Electronic Science and Technology of China, Chengdu, China

4. University of Electronic Science and Technology of China & Intelligent Terminal Key Laboratory of Sichuan Province, Chengdu, Sichuan, China

5. Faculty of Civil Engineering and Geosciences, Delft University of Technology Faculty of Civil Engineering and Geosciences, Delft, China

Funder

National Natural Science Foundation of China

Intelligent Terminal Key Laboratory of Sichuan Province

Publisher

ACM

Reference36 articles.

1. Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho. 2018. Unsupervised Neural Machine Translation. In International Conference on Learning Representations (ICLR).

2. Generating Sentences from a Continuous Space

3. Language Models are Few-Shot Learners;Brown Tom;Advances in Neural Information Processing Systems (NeurIPS),2020

4. Mengyang Chen, Lingwei Wei, Han Cao, Wei Zhou, and Songlin Hu. 2023. Can Large Language Models Understand Content and Propagation for Misinformation Detection: An Empirical Study. arXiv preprint arXiv:2311.12699 (2023).

5. Multi‐scale graph capsule with influence attention for information cascades prediction

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