Geometric Deep Learning: Going beyond Euclidean data

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Items 201–300 of 1,003

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34. Spatial-Temporal Cellular Traffic Prediction for 5G and Beyond: A Graph Neural Networks-Based Approach
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38. A deep-learning approach for direct whole-heart mesh reconstruction
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40. PointCNN: Convolution On $\mathcal{X}$-Transformed Points
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41. Hyperbolic Heterogeneous Information Network Embedding
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43. A modified DeepWalk method for link prediction in attributed social network
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45. Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities
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47. A graph neural network (GNN) approach to basin-scale river network learning: the role of physics-based connectivity and data fusion
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48. Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
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49. A survey on deep geometry learning: From a representation perspective
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51. NAS-Count: Counting-by-Density with Neural Architecture Search
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54. Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps
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56. Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition
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57. Hybrid Graph Convolutional Networks for Semi-Supervised Classification
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58. A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data
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