4,368 skills found · Page 4 of 146
KevinCoble / AIToolboxA toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
awslabs / Dgl LifesciPython package for graph neural networks in chemistry and biology
tkipf / Keras GcnKeras implementation of Graph Convolutional Networks
svjan5 / GNNs For NLPTutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
jdlc105 / Must Read Papers And Continuous Tracking On Graph Neural Network GNN ProgressPapers on Graph neural network(GNN)
guoshnBJTU / ASTGCN 2019 PytorchAttention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
hongsukchoi / Pose2Mesh RELEASEOfficial Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020
graphp / GraphGraPHP is the mathematical graph/network library written in PHP.
SpaceLearner / Awesome DynamicGraphLearningAwesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
lshiwjx / 2s AGCNTwo-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
daiquocnguyen / Graph TransformerUniversal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
muhanzhang / SEALSEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".
HazyResearch / HgcnHyperbolic Graph Convolutional Networks in PyTorch.
christophergandrud / NetworkD3D3 JavaScript Network Graphs from R
paulgavrikov / VisualkerasVisualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.
malllabiisc / CompGCNICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
dash14 / V Network GraphAn interactive network graph visualization component for Vue 3
IBM / EvolveGCNCode for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
benedekrozemberczki / GraphWaveletNeuralNetworkA PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
yingxin-jia / SuperGlue Pytorch[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.
