1,730 results on '"Hancock, Edwin R."'
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102. Adaptive Graph Learning for Unsupervised Feature Selection
103. A High-Order Depth-Based Graph Matching Method
104. An Edge-Based Matching Kernel for Graphs Through the Directed Line Graphs
105. Thermodynamics of Time Evolving Networks
106. Skeletal Graphs from Schrödinger Magnitude and Phase
107. A Quantum Jensen-Shannon Graph Kernel Using Discrete-Time Quantum Walks
108. An Entropic Edge Assortativity Measure
109. Coupled-Feature Hypergraph Representation for Feature Selection
110. Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis
111. Depth-based hypergraph complexity traces from directed line graphs
112. Concentric network symmetry
113. Fast depth-based subgraph kernels for unattributed graphs
114. Feature Point Matching Using a Hermitian Property Matrix
115. Mutual Information Criteria for Feature Selection
116. An Information Theoretic Approach to Learning Generative Graph Prototypes
117. Graph Characterization via Backtrackless Paths
118. Affinity Propagation for Class Exemplar Mining
119. Commute-Time Convolution Kernels for Graph Clustering
120. What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach
121. Graph Embedding Using an Edge-Based Wave Kernel
122. Ihara Coefficients: A Flexible Tool for Higher Order Learning
123. Spherical Embedding and Classification
124. Regularising the Ricci Flow Embedding
125. Pattern Recognition with Non-Euclidean Similarities
126. Attributed Graph Kernels Using the Jensen-Tsallis q-Differences
127. Quantum vs Classical Ranking in Segment Grouping
128. Entropic Graph Embedding via Multivariate Degree Distributions
129. Node Centrality for Continuous-Time Quantum Walks
130. Commute Time for a Gaussian Wave Packet on a Graph
131. Transitive State Alignment for the Quantum Jensen-Shannon Kernel
132. A Graph Kernel from the Depth-Based Representation
133. Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus
134. Two-Level Graph Neural Network
135. Any-to-Any Voice Conversion With Multi-Layer Speaker Adaptation and Content Supervision
136. Learning Aligned Vertex Convolutional Networks for Graph Classification
137. Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus
138. Graph Motif Entropy for Understanding Time-Evolving Networks
139. Unfolding Kernel embeddings of graphs: Enhancing class separation through manifold learning
140. A quantum Jensen–Shannon graph kernel for unattributed graphs
141. Geometricity and Embedding
142. Eigenvector Sign Correction for Spectral Correspondence Matching
143. Estimating Complex Refractive Index Using Ellipsometry
144. A Fast Jensen-Shannon Subgraph Kernel
145. Manifold Learning and the Quantum Jensen-Shannon Divergence Kernel
146. Analysis of Wave Packet Signature of a Graph
147. Complexity Fusion for Indexing Reeb Digraphs
148. A Graph Embedding Method Using the Jensen-Shannon Divergence
149. Heterogeneity Index for Directed Graphs
150. Entropy and Heterogeneity Measures for Directed Graphs
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