随笔分类 -  论文

英文倾斜是原文，下划线是原文翻译
论文阅读 TEMPORAL GRAPH NETWORKS FOR DEEP LEARNING ON DYNAMIC GRAPHS
摘要：14 TEMPORAL GRAPH NETWORKS FOR DEEP LEARNING ON DYNAMIC GRAPHS link:https://scholar.google.com.hk/scholar_url?url=https://arxiv.org/pdf/2006.10637.pdf 阅读全文
posted @ 2022-07-17 21:21 落悠 阅读(888) 评论(0) 推荐(0)
论文阅读 Inductive Representation Learning on Temporal Graphs
摘要：12 Inductive Representation Learning on Temporal Graphs link:https://arxiv.org/abs/2002.07962 本文提出了时间图注意(TGAT)层，以有效地聚合时间-拓扑邻域特征，并学习时间-特征之间的相互作用。对于TGAT 阅读全文
posted @ 2022-07-11 02:02 落悠 阅读(1196) 评论(0) 推荐(1)
论文阅读 GloDyNE Global Topology Preserving Dynamic Network Embedding
摘要：11 GloDyNE Global Topology Preserving Dynamic Network Embedding link:http://arxiv.org/abs/2008.01935 Abstract 目前大多数现有的DNE方法的思想是捕捉最受影响的节点(而不是所有节点)或周围的拓 阅读全文
posted @ 2022-07-03 18:07 落悠 阅读(343) 评论(0) 推荐(0)
论文阅读 Exploring Temporal Information for Dynamic Network Embedding
摘要：10 Exploring Temporal Information for Dynamic Network Embedding 5 link:https://scholar.google.com.sg/scholar_url?url=https://ieeexplore.ieee.org/abstr 阅读全文
posted @ 2022-06-25 23:45 落悠 阅读(881) 评论(0) 推荐(0)
论文阅读 Real-Time Streaming Graph Embedding Through Local Actions 11
摘要：9 Real-Time Streaming Graph Embedding Through Local Actions 11 link:https://scholar.google.com.sg/scholar_url?url=https://par.nsf.gov/servlets/purl/10 阅读全文
posted @ 2022-06-15 16:22 落悠 阅读(563) 评论(0) 推荐(1)
论文阅读 Dynamic Network Embedding by Modeling Triadic Closure Process
摘要：3 Dynamic Network Embedding by Modeling Triadic Closure Process link:https://scholar.google.com.sg/scholar_url?url=https://ojs.aaai.org/index.php/AAAI 阅读全文
posted @ 2022-05-29 21:58 落悠 阅读(565) 评论(0) 推荐(0)
论文阅读 Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
摘要：7 Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks link:https://arxiv.org/abs/1908.01207 Abstract 本文提出了一种在嵌入空间中显示建模用户/项目的未来轨迹的 阅读全文
posted @ 2022-05-23 21:47 落悠 阅读(450) 评论(0) 推荐(0)
论文阅读 DyREP:Learning Representations Over Dynamic Graphs
摘要：6 DyREP:Learning Representations Over Dynamic Graphs link:https://scholar.google.com/scholar_url?url=https://par.nsf.gov/servlets/purl/10099025&hl=zh- 阅读全文
posted @ 2022-05-17 16:25 落悠 阅读(438) 评论(0) 推荐(0)
论文阅读 Dynamic Graph Representation Learning Via Self-Attention Networks
摘要：5 Dynamic Graph Representation Learning Via Self-Attention Networks link：https://arxiv.org/abs/1812.09430 Abstract 提出了在动态图上使用自注意力 Conclusion 本文提出了使用自注 阅读全文
posted @ 2022-05-05 23:19 落悠 阅读(698) 评论(0) 推荐(0)
论文阅读 Streaming Graph Neural Networks
摘要：4 Streaming Graph Neural Networks link：https://dl.acm.org/doi/10.1145/3397271.3401092 Abstract 本文提出了一种新的动态图神经网络模型DGNN，它可以随着图的演化对动态信息进行建模。特别是，该框架可以通过捕获 阅读全文
posted @ 2022-04-29 00:54 落悠 阅读(1016) 评论(0) 推荐(0)
论文阅读 DynGEM: Deep Embedding Method for Dynamic Graphs
摘要：2 DynGEM: Deep Embedding Method for Dynamic Graphs link:https://arxiv.org/abs/1805.11273v1 Abstract 首先这个嵌入是基于deep autoencoder的 该论文提出了三个主要优势： （1）随着时间的推 阅读全文
posted @ 2022-04-15 19:54 落悠 阅读(434) 评论(0) 推荐(0)
论文阅读 Continuous-Time Dynamic Network Embeddings
摘要：1 Continuous-Time Dynamic Network Embeddings Abstract ​ 描述一种将时间信息纳入网络嵌入的通用框架，该框架提出了从CTDG中学习时间相关嵌入 Conclusion ​ 描述了一个将时间信息纳入网络嵌入方法的通用框架。该框架为推广现有的基于随机游走 阅读全文
posted @ 2022-04-13 23:49 落悠 阅读(642) 评论(0) 推荐(2)
AdaIN-论文阅读(Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization)
摘要：Abstract 惯例先说了一下原来的两种方法的优缺点 第一种 Gatys et al. recently introduced a neural algorithm that renders a content image in the style of another image, achiev 阅读全文
posted @ 2021-11-11 13:31 落悠 阅读(1623) 评论(0) 推荐(0)