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argf_multimodal_fusion

codes for: Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion

astgcn

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

clustered_ccrf_model

The implementation of proposed model in paper Yi, F., Yu, Z., et al. An Integrated Model for Crime Prediction Using Temporal and Spatial Factors. In 2018 IEEE International Conference on Data Mining (ICDM) (pp. 1386-1391). IEEE.

crimeforecaster

deepcrime

dgcnn

Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".

diffpool

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

graph-wavenet

graph wavenet

graphsage

Representation learning on large graphs using stochastic graph convolutions.

mv-region-embedding

code for paper Multi-View Joint Graph Representation Learning for Urban Region Embedding. (to be updated)

sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"

st-shn

Code of ST-SHN for IJCAI-21

stgcn_ijcai-18

Spatio-Temporal Graph Convolutional Networks

stsgcn

AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

test