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图神经网络(Graph Neural Network,GNN)是指使用神经网络来学习图结构数据,提取和发掘图结构数据中的特征和模式,满足聚类、分类、预测、分割、生成等图学习任务需求的算法总称。如何从图数据(网络数据)中学习有效的数据表征是大数据与人工智能时代的一大挑战。为此,本次汇报将从一种特殊的谱图神经网络(图卷积神经网络)出发,介绍相应的消息传递范式,揭示传统机器学习和图神经网络的内在关联,并...
Graphs play an important role in many fields of machine learning such as clustering. Many graph-based machine learning approaches assume that the graphs have hidden group structures. However, the grou...
华南理工大学数据结构与算法课件Chapter7 Graph
四川大学数据结构与算法课件 Graph
Measuring network flow sizes is important for tasks like accounting/billing, network forensics and security. Per-flow accounting is considered hard because it requires that many counters b...
We consider a Markov process on a connected graph, with edges labeled with transition rates between the adjacent vertices. The distribution of the Markov process converges to the uniform distribution ...
Independent navigation through unfamiliar indoor spaces is beset with barriers for the visually impaired. Hence, this issue impairs their independence, self-respect and self-reliance. In this thesis I...
Image deblurring aims to counteract the effect of point spread function (PSF) inimperfect image formation system. Conventional solutions include frequency-domainapproaches (e.g. Wiener filtering...
Critical business processes can fail. Therefore, continuity processes are needed as back-up solutions. Today, those continuity processes are set up and maintained manually. They are mostly based on be...
If are the eigen values of a p-vertex graph , the energy of is . If , then is said to be hyperenergetic. We show that the Frucht graph, the graph used in the proof of well known Frucht’s theorem, is n...
提出一种基于Skip图 P2P覆盖网模型的分布式信任证存储和发现机制。为保证索引和发现效率,采用 语言作为信任证描述语言,其语义属性作为Skip图中的索引关键字,构造了基于关键字前缀相似和支持范围查询的P2P覆盖网。通过试验评测和分析,该机制具有较高的查询效率和负载均衡机制。
In this paper, we present a simple and effective signature verification method that depends only on the raw binary pixel intensities and avoids using complex sets of features. The method looks at the ...
Text segmentation, or named text binarization, is usually an essential step for text information extraction from images and videos. However, most existing text segmentation methods have difficulties i...
Pedestrian detection in still image should handle the large appearance and stance variations arising from the articulated structure,various clothing of human as well as viewpoints. In this paper, we a...
Places in movies and sitcoms could indicate higher-level semantic cues about the story scenarios and actor relations. This paper presents a novel unsupervised framework for efficient place retrieval i...

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