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Semi-Supervised Classification with Graph Convolutional Networks

9 Sep 2016tkipf/gcn

We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of convolutional neural networks which operate directly on graphs.

DOCUMENT CLASSIFICATION GRAPH CLASSIFICATION GRAPH REGRESSION NODE CLASSIFICATION SKELETON BASED ACTION RECOGNITION

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

NeurIPS 2016 tkipf/gcn

In this work, we are interested in generalizing convolutional neural networks (CNNs) from low-dimensional regular grids, where image, video and speech are represented, to high-dimensional irregular domains, such as social networks, brain connectomes or words' embedding, represented by graphs.

NODE CLASSIFICATION SKELETON BASED ACTION RECOGNITION

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

CVPR 2017 deepmind/kinetics-i3d

The paucity of videos in current action classification datasets (UCF-101 and HMDB-51) has made it difficult to identify good video architectures, as most methods obtain similar performance on existing small-scale benchmarks.

ACTION RECOGNITION IN VIDEOS SKELETON BASED ACTION RECOGNITION

Graph Attention Networks

ICLR 2018 PetarV-/GAT

We present graph attention networks (GATs), novel neural network architectures that operate on graph-structured data, leveraging masked self-attentional layers to address the shortcomings of prior methods based on graph convolutions or their approximations.

DOCUMENT CLASSIFICATION GRAPH EMBEDDING GRAPH REGRESSION LINK PREDICTION NODE CLASSIFICATION SKELETON BASED ACTION RECOGNITION

Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

CVPR 2018 TobiasLee/Text-Classification

Experimental results have shown that the proposed IndRNN is able to process very long sequences (over 5000 time steps), can be used to construct very deep networks (21 layers used in the experiment) and still be trained robustly.

LANGUAGE MODELLING SEQUENTIAL IMAGE CLASSIFICATION SKELETON BASED ACTION RECOGNITION

Simplifying Graph Convolutional Networks

19 Feb 2019Tiiiger/SGC

Graph Convolutional Networks (GCNs) and their variants have experienced significant attention and have become the de facto methods for learning graph representations.

GRAPH REGRESSION IMAGE CLASSIFICATION RELATION EXTRACTION SENTIMENT ANALYSIS SKELETON BASED ACTION RECOGNITION TEXT CLASSIFICATION

Temporal Convolutional Networks for Action Segmentation and Detection

CVPR 2017 coderSkyChen/Action_Recognition_Zoo

The ability to identify and temporally segment fine-grained human actions throughout a video is crucial for robotics, surveillance, education, and beyond.

SKELETON BASED ACTION RECOGNITION