【论文解读 WWW 2018 | GraphInception】Deep Collective Classification in Heterogeneous Information Networks
论文链接：https://dl.acm.org/doi/10.1145/3178876.3186106 代码链接：https://github.com/zyz282994112/GraphInception 来源：WWW 2018 本文要解决的是HIN中的集体分类(collective classfication)问题：一组实例中的标签是相关的，应该对这个集体进行分类推断。 传统的集体分类方法主要
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相关文章
- 1. 【论文阅读】PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks
- 2. 【论文解读 WWW 2020 | HGT】Heterogeneous Graph Transformer
- 3. 【论文解读 CIKM 2018 | GEM】Heterogeneous Graph Neural Networks for Malicious Account Detection
- 4. 【论文笔记】NRL-Heterogeneous Information Network
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- 6. 读文献——《ImageNet classification with deep convolutional neural networks》
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- 9. 【论文解读 AAAI 2019 | HHNE】Hyperbolic Heterogeneous Information Network Embedding
- 10. 【论文解读 WWW 2019 | HAN】Heterogeneous Graph Attention Network