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| 1504ICLR_very deep convolutional networks for large scale image recongnition.pdf | 195.3 KiB | 2022-Sep-22 22:47 |
| Feature_learning.pdf | 323.5 KiB | 2022-Sep-07 23:58 |
| Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks.pdf | 2.4 MiB | 2022-Jul-15 08:21 |
| [01]17 Geometric deep learning going beyond Euclidean data.pdf | 5.3 MiB | 2022-Jul-19 15:31 |
| [02]20 Graph Representation Learning.pdf | 2.4 MiB | 2022-Jul-15 07:10 |
| [03]20 A comprehensive survey on graph neural networks.pdf | 1.6 MiB | 2022-Jul-15 07:11 |
| [04]20 Graph neural networks A review of methods and applications.pdf | 1.9 MiB | 2022-Jul-15 07:15 |
| [05]2020 Deep Learning on Graphs A Survey.pdf | 4.0 MiB | 2022-Jul-15 07:16 |
| [06]2013 Spectral networks and locally connected networks on graphs.pdf | 1.9 MiB | 2022-Jul-15 07:17 |
| [07]2017 Neural message passing for quantum chemistry.pdf | 399.8 KiB | 2022-Jul-15 07:18 |
| [08]2020 Second-order pooling for graph neural networks.pdf | 1.1 MiB | 2022-Jul-15 07:19 |
| [09]18 How powerful are graph neural.pdf | 800.6 KiB | 2022-Jul-15 07:19 |
| [10]21 How framelets enhance graph neural networks.pdf | 16.3 MiB | 2022-Jul-15 07:20 |
| [11]19 Graph U-nets.pdf | 366.9 KiB | 2022-Jul-15 07:21 |
| [12]20 Haar-like wavelet multiresolution-analysis for graph representation and learning.pdf | 4.2 MiB | 2022-Jul-15 07:21 |
| [13]19 Graph convolutional networks.pdf | 1.3 MiB | 2022-Jul-15 07:24 |
| [14]20 Wasserstein embedding for graph learning.pdf | 1.8 MiB | 2022-Jul-15 07:26 |
| [15]11 Gromov-Wasserstein distances and the metric approach to object matching.pdf | 2.2 MiB | 2022-Jul-15 07:26 |
| [16]08 Optimization Algorithms on Matrix Manifolds.pdf | 2.1 MiB | 2021-Mar-12 12:29 |
| [17]21 grassmann graph embedding.pdf | 1.9 MiB | 2022-Jul-15 07:28 |
| [18]17 Semi-supervised classification with graph convolutional.pdf | 853.4 KiB | 2022-Jul-15 07:30 |
| [19]20 Simplifying and powering graph convolution network for recommendation.pdf | 1.2 MiB | 2022-Jul-15 07:30 |
| [20]21 Beyond low-frequency information in graph convolutional networks.pdf | 542.8 KiB | 2022-Jul-15 07:31 |
| [21]17 Inductive representation learning on large graphs.pdf | 901.8 KiB | 2022-Jul-15 07:32 |
| [22]18 Representation learning on graphs with jumping knowledge networks.pdf | 1.6 MiB | 2022-Jul-15 07:33 |
| [23]17 Graph attention networks.pdf | 1.6 MiB | 2022-Jul-15 07:33 |
| [24]19 Heterogeneous graph attention network.pdf | 2.6 MiB | 2022-Jul-15 07:34 |
| [25]22 How to find your friendly neighborhood Graph attention design with self-supervision.pdf | 3.8 MiB | 2022-Jul-15 07:35 |
| [26]20 Graph neural networks with feature-wise linear modulation.pdf | 301.7 KiB | 2022-Jul-15 07:36 |
| [27]21 Do we need anisotropic graph.pdf | 426.7 KiB | 2022-Jul-15 07:36 |
| [28]15 Bilinear cnn models for fine-grained.pdf | 932.2 KiB | 2022-Jul-15 07:37 |
| [29]17 Spatiotemporal pyramid network for video action recognition.pdf | 729.2 KiB | 2022-Jul-15 07:38 |
| [30]18 Towards sparse hierarchical graph classifiers.pdf | 420.1 KiB | 2022-Jul-15 07:38 |
| [31]19 Self-attention graph pooling.pdf | 460.6 KiB | 2022-Jul-15 07:39 |
| [32]15 Gated graph sequence neural networks.pdf | 748.2 KiB | 2022-Jul-15 07:39 |
| [33]19 Understanding attention and generalization in graph neural networks.pdf | 2.1 MiB | 2022-Jul-15 07:40 |
| [34]20 Rethinking pooling in graph neural networks.pdf | 838.4 KiB | 2022-Jul-15 07:40 |
| [35]12 A geometric approach to low-rank matrix completion.pdf | 238.9 KiB | 2022-Jul-15 07:41 |
| [36]15 Low-rank matrix completion via preconditioned optimization on the Grassmann manifold.pdf | 1.5 MiB | 2022-Jul-15 07:42 |
| [37]12 Advances in matrix manifolds for computer vision.pdf | 355.7 KiB | 2022-Jul-15 07:43 |
| [38]16 Algorithmic advances in Riemannian geometry and applications.pdf | 5.6 MiB | 2022-Jul-15 07:46 |
| [39]15 Projection metric learning on Grassmann manifold with application to video based face recognition.pdf | 730.9 KiB | 2022-Jul-15 07:48 |
| [40]14 Accurate 3d action recognition using learning on the Grassmann manifold.pdf | 2.1 MiB | 2022-Jul-15 07:49 |
| [41]07 Dynamical low-rank approximation.pdf | 808.3 KiB | 2022-Jul-15 07:50 |
| [42]12 Scaled gradients on Grassmann manifolds for matrix completion.pdf | 250.2 KiB | 2022-Jul-15 07:51 |
| [43]13 Clustering on multilayer graphs via subspace analysis on Grassmann manifolds.pdf | 1.3 MiB | 2022-Jul-15 07:52 |
| [44]21 Manifold optimization-assisted gaussian variational approximation.pdf | 1.6 MiB | 2022-Jul-15 07:52 |
| [45]98 The geometry of algorithms with orthogonality constraints.pdf | 581.4 KiB | 2022-Jul-15 07:53 |
| [46]04 Riemannian geometry of Grassmann manifolds with a view on algorithmic computation.pdf | 168.8 KiB | 2022-Jul-15 07:54 |
| [47]18 Building deep networks on Grassmann manifolds.pdf | 606.9 KiB | 2022-Jul-15 07:54 |
| [48]2015 Low Rank Representation on Grassmann Manifolds.pdf | 105.9 MiB | 2022-Jul-15 07:56 |
| [49]17 Locality preserving projections for Grassmann manifold.pdf | 956.4 KiB | 2022-Jul-15 07:56 |
| [50]11 A Grassmann manifold handbook Basic geometry and computational aspects.pdf | 869.6 KiB | 2022-Jul-15 07:57 |
| [51]03 EFFICIENT ALGORITHMS FOR INFERENCES ON GRASSMANN MANIFOLDS.pdf | 132.6 KiB | 2022-Jul-15 07:59 |
| [52]03 Statistics on Special Manifolds.pdf | 5.2 MiB | 2022-Jul-15 08:01 |
| [53]16 Schubert varieties and distances between subspaces of difierent dimensions.pdf | 314.7 KiB | 2022-Jul-15 08:02 |
| [54]14 Expanding the family of Grassmannian kernels An embedding perspective.pdf | 557.3 KiB | 2022-Jul-15 08:03 |
| [55]06 Region covariance A fast descriptor for detection and classification.pdf | 957.8 KiB | 2022-Jul-15 08:03 |
| [57]16 Variational graph auto-encoders.pdf | 526.9 KiB | 2022-Jul-15 08:09 |
| [58]82 Least squares quantization in pcm.pdf | 1.2 MiB | 2022-Jul-15 08:10 |
| [59]19 Fast graph representation learning with PyTorch.pdf | 370.4 KiB | 2022-Jul-15 08:11 |
| [60]20 Open graph benchmark Datasets for machine learning on.pdf | 730.5 KiB | 2022-Jul-15 08:12 |
| [61]20 TUDataset A collection of benchmark datasets for learning with graphs.pdf | 201.1 KiB | 2022-Jul-15 08:13 |
| [62]19 Graph warp module an auxiliary module for boosting the power of graph neural networks.pdf | 2.1 MiB | 2022-Jul-15 08:13 |
| [63]19 Towards graph pooling by edge contraction.pdf | 239.0 KiB | 2022-Jul-15 08:14 |
| [64]19 Edge contraction pooling for graph neural networks.pdf | 750.8 KiB | 2022-Jul-15 08:15 |
| [65]20 Path integral based convolution and pooling for graph neural networks.pdf | 5.8 MiB | 2022-Jul-15 08:15 |
| [66]16 Revisiting semi-supervised learning with graph embeddings.pdf | 590.2 KiB | 2022-Jul-15 08:16 |
| [67]07 a wikipedia-based benchmark for graph neural networks.pdf | 1.8 MiB | 2022-Jul-15 08:17 |
| [68]18 Pitfalls of graph neural network evaluation.pdf | 302.2 KiB | 2022-Jul-15 08:17 |
| [69]14 A method for stochastic optimization.pdf | 570.9 KiB | 2022-Jul-15 08:19 |