随笔分类 - Representation Learning
摘要：目录概 Ma Y., Liu X., Shah N. and Tang J. Is homophily a necessity for graph neural networks? ICLR, 2022. 概 探究 Homophily 假设 (即相互连接的结点相似) 对于 GCN 发挥效果是否是必须
阅读全文
摘要：目录概符号说明GraphPrompt代码 Liu Z., Yu X., Fang Y. and Zhang X. GraphPrompt: Unifying pre-training and downstream tasks for graph neural networks. WWW, 2023.
阅读全文
摘要：目录概符号说明GPT-GNN代码 Hu Z., Dong Y., Wang K., Chang K. and Sun Y. GPT-GNN: Generative pre-training of graph neural networks. KDD, 2020. 概 比较早的一篇图预训练模型. 符号
阅读全文
摘要：目录概符号说明NeuralSparse Zheng C., Zong B., Cheng W., Song D., Ni J., Yu W., Chen H. and Wang W. Robust graph representation learning via neural sparsifica
阅读全文
摘要：目录概DIST代码 Huang T., You S., Wang F., Qian C. and Xu C. Knowledge distillation from a stronger teacher. NIPS, 2022. 概 用 Pearson correlation coefficient
阅读全文
摘要：目录概符号说明RKD代码 Park W., Kim D., Lu Y. and Cho M. Relational knowledge distillation. CVPR, 2019. 概 符号说明 , teacher and student model; \(\mathc
阅读全文
摘要：[TOC] > [Kojima T., Gu S. S., Reid M., Matsuo Y. and Iwasawa Y. Large language models are zero-shot reasoners. NIPS, 2022.](http://arxiv.org/abs/2205.
阅读全文
摘要：[TOC] > [Press O., Zhang M., Min S., Schmidt L., Smith N. A. and Lewis M. Measuring and narrowing the compositionality gap in language models. arXiv p
阅读全文
摘要：[TOC] > [Wei J., Wang X., Schuurmans D., Bosma M., Ichter B., Xia F., Chi E. H., Le Q. V. and Zhou D. Chain-of-thought prompting elicits reasoning in
阅读全文
摘要：[TOC] > [Trivedi H., Balasubramanian N., Khot T., Sabharwal A. Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-st
阅读全文
摘要：[TOC] > [He H., Zhang H. and Roth D. Rethinking with retrieval: faithful large language model inference. arXiv preprint arXiv:2301.00303, 2023.](http:
阅读全文
摘要：[TOC] > [Guu K., Lee K., Tung Z., Pasupat P. and Chang M. REALM: Retrieval-augmented language model pre-training. ICML, 2020.](http://arxiv.org/abs/20
阅读全文
摘要：[TOC] > [Lewis P. and Perez E., et al. Retrieval-augmented generation for knowledge-intensive nlp tasks. NIPS, 2020.](http://arxiv.org/abs/2005.11401)
阅读全文
摘要：[TOC] > [Ren H., Hu W. and Leskovec J. Query2box: Reasoning over knowledge graphs in vector space using box embeddings. ICLR, 2020.](http://arxiv.org/
阅读全文
摘要：[TOC] > [Yang Y., Liu T., Wang Y., Zhou J., Gan Q., Wei Z., Zhang Z., Huang Z. and Wipf D. Graph neural networks inspired by classical iterative algor
阅读全文
摘要：[TOC] > [Wu Q., Yang C., Zhao W., He Y., Wipf D. and Yan J. DIFFormer: Scalable (graph) transformers induced by energy constrained diffusion. ICLR, 20
阅读全文
摘要：[TOC] > [Niu C., Song Y., Song J., Zhao S., Grover A. and Ermon S. Permutation invariant graph generation via score-based generative modeling. AISTATS
阅读全文
摘要：[TOC] > [Liao R., Li Y., Song Y., Wang S., Nash C., Hamilton W. L., Duvenaud D., Urtasun R. and Zemel R. NIPS, 2019.](http://arxiv.org/abs/1910.00760)
阅读全文
摘要：[TOC] > [Liu J., Kumar A., Ba J., Kiros J. and Swersky K. Graph normalizing flows. NIPS, 2019.](http://arxiv.org/abs/1905.13177) ## 概 基于 [flows](https
阅读全文
摘要：[TOC] > [Dinh L, Sohl-Dickstein J. and Bengio S. Density estimation using real nvp. ICLR, 2017.](http://arxiv.org/abs/1605.08803) ## 概 一种可逆的 flow, 感觉很
阅读全文
