uZeroJ

ASTGCN

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

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

Bible_Text_GCN

Text-Based Graph Convolution Network

ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

cold-start

cold start of recommendation

coursera_prl

coursera_prl

DCRNN

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

DeepSTN

Codes for AAAI 2019 DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis

DiverseFewShot_Amazon

DMVST-Net

DMVST-Net for AAAI 2018

DRSA

Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper.

dstn

Deep Spatio-Temporal Neural Network (DSTN)

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

gcn

Implementation of Graph Convolutional Networks in TensorFlow

Graph-WaveNet

graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

Hands-On-Meta-Learning-With-Python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

jodie

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

karateclub

A general purpose community detection and network embedding library for research built on NetworkX.

M-NMF

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

MixHop-and-N-GCN

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

STDN

Code for our Spatiotemporal Dynamic Network

time_lstm

Trigger_Forest

wsdm22_cup_xmrec

WSDM 2022 CUP - Cross-Market Recommendation - Starter Kit