A recurrent neural network (RNN) is a universal approximator of dynamical systems, whose performance often depends on sensitive hyperparameters. Tuning them properly may be difficult and, typically, based on a trial-and-error approach. In this work, we adopt a graph-based framework to interpret...
Graph Neural Networks(GNN,图神经网络): GNN的目标是学习每个节点的低维向量表示,这可以用于许多下游网络挖掘任务。 Kipf等[15]提出在图邻节点上执行卷积运算进行信息聚合 GraphSAGE[7]是一个归纳式GNN框架,它使用通用聚合函数来高效生成节点嵌入 为了区分相邻节点的影响,GAT[27]被提出作为一种关注的消息传递机制来...
In recent years, unsupervised and self-supervised graph representation learning has gained popularity in the research community. However, most proposed methods are focused on homogeneous networks, whereas real-world graphs often contain multiple node and edge types. Multiplex graphs, a special type of ...
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Temporal heterogeneous interaction graph embedding for next-item recommendation (PKDD'20) Link Inference via Heterogeneous Multi-view Graph Neural Networks (DASFAA 2020) Multi-View Collaborative Network Embedding (Arxiv, May 2020) Please let me know if your toolkit includes GATNE models or your paper...
& Even, G. Observability of boolean networks: A graph-theoretic approach. Automatica 49, 2351–2362 (2013). 40. Zhang, K. & Zhang, L. Observability of boolean control networks: A unified approach based on finite automata. IEEE Transactions on Automatic Control 61, 2733–2738 (2016). 41....
Profiling the plant root architecture is vital for selecting resilient crops that can efficiently take up water and nutrients. The high-performance imaging tools available to study root-growth dynamics with the optimal resolution are costly and stationar
Heterogeneous Graph Neural Network 背景介绍 文章核心思想? 文章针对异构图网络进行建模,得到每个节点的向量表示。首先,利用基于重启的随机游走策略为每个节点根据节点类型选择邻居,然后利用两个模块聚合邻居节点特征:一方面,对节点的不同类型特征进行建模,生成特征向量;另一方面,聚合不同类型的邻居节点,并融合注意力机制,...
Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 10, 186–198 (2009). 7. Isaacson, J. S. & Scanziani, M. How inhibition shapes cortical activity. Neuron 72, 231–243 (2011). 8. Biswal, B. B. Resting state fMRI: a personal ...
2.2. Graph Theory A simple network or graph, G, is defined by the set of nodes, V, the set of edges, E, and the adjacency matrix, A. The adjacency matrix 𝐀∈ℝ𝑛×𝑛 is an undirected, symmetric and non-negative matrix that reflects the pair-wise affinity between nodes, where...