#
gnn
Here are 83 public repositories matching this topic...
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
machine-learning
research
deep-learning
tensorflow
sklearn
pytorch
deepwalk
convolution
node2vec
graph-classification
capsule-network
graph-attention-networks
capsule-neural-networks
graph-attention-model
struc2vec
graph-convolution
gnn
graph-neural-network
capsgnn
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May 31, 2020 - Python
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
machine-learning
deep-learning
neural-network
tensorflow
sklearn
pytorch
attention-mechanism
network-embedding
wsdm
ged
gcn
graph-embedding
graph-classification
tensor-network
graph-similarity
graph-convolution
graph-attention
gnn
graph-edit-distance
simgnn
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Updated
May 31, 2020 - Python
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
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Jan 28, 2020 - Python
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
deep-learning
tensorflow
machine-learning-algorithms
pytorch
deepwalk
deep-learning-algorithms
network-embedding
active-learning
graph-convolutional-networks
gcn
node2vec
graph-embedding
graph-classification
active-learning-module
node-classification
graph-neural-networks
graph-representation-learning
graph-convolution
gnn
graph-neural-network
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May 31, 2020 - Python
A repository of pretty cool datasets that I collected for network science and machine learning research.
data-science
benchmark
machine-learning
community-detection
network-science
deepwalk
dataset
dimensionality-reduction
network-analysis
network-embedding
link-prediction
gcn
node2vec
graph-embedding
node-classification
graph2vec
node-embedding
graph-convolution
gnn
graph-neural-network
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May 21, 2020
A Temporal Extension Library for PyTorch Geometric
deep-learning
network-science
pytorch
temporal-networks
spatial-analysis
spatial-data
network-embedding
spatio-temporal-analysis
graph-convolutional-networks
gcn
spatio-temporal-data
temporal-data
graph-embedding
geometric-deep-learning
graph-neural-networks
node-embedding
graph-convolution
gnn
temporal-graphs
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Aug 27, 2020 - Python
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
machine-learning
deep-learning
graph-algorithms
tensorflow
pagerank
pytorch
gcn
graph-classification
gnn
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Apr 24, 2020 - Jupyter Notebook
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
nlp
tf2
gin
gan
albert
bert
message-passing
graph-convolutional-networks
gcn
textcnn
graphsage
bilstm-attention
gnn
tensorflow2
gpt2
bert-ner
bert-cls
albert-ner
graph-classfication
textgcn
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Jun 9, 2020 - Python
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Aug 26, 2020 - C++
A PyTorch Graph Neural Network Library
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Sep 1, 2020 - Python
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
deep-learning
community-detection
motif
deepwalk
networkx
louvain
igraph
network-embedding
graph-partitioning
gcn
graph-clustering
node2vec
graph-embedding
graph-algorithm
graph2vec
gemsec
gnn
network-motif
graph-motif
graph-deco
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May 31, 2020 - Python
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
gcn
bayesian-neural-networks
graph-convolutional-network
graph-learning
graph-neural-networks
graph-convolutional-neural-networks
gnn
bayesian-graph-neural-networks
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Sep 8, 2019 - Python
The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。
sql
spider
natural-language
complex
sql-generation
semantic-parsing
zhang
nlidb
wikisql
nl2sql
gnn
text2sql
table-qa
extend-resources
nl2code
nl2lf
sql-parsing
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Sep 1, 2020
Notes and Slides, Focus on NLP.
nlp
naacl
meta
notes
presentation
slides
acl
presentations
gan
generation
summarization
emnlp
knowledge-distillation
data-augmentation
aaai
iclr
graph-neural-networks
gnn
pretrain
non-autoregressive
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Aug 27, 2020
Graph Neural Network based Social Recommendation Model. SIGIR2019.
neural-network
recommendation
social-recommendation
gcn
graph-convolutional-network
gnn
graph-neural-network
sigir2019
neural-graph
neural-network-graph
neural-graph-recommendation
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Jul 12, 2020 - Python
This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)
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Sep 22, 2019 - Python
Code for reproducing results in GraphMix paper
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May 9, 2020 - Python
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
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Mar 19, 2019 - Python
This shows a basic implementation of the global nearest neighbour (GNN) multi target Tracker. Kalman filter is used for Tracking and Auction Algorithm for determining the assignment of measurments to filters.
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Aug 10, 2020 - C++
A comprehensive collection of GNN works in NeurIPS 2019.
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Dec 6, 2019
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
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Dec 26, 2019 - Python
G3: A Programmable GNN Training System on GPU
deep-neural-networks
gpu
graph-processing
gpu-acceleration
gpu-computing
gunrock
gnn
graph-neural-network
gnn-architectures
graph-systems
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Aug 29, 2020 - Cuda
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
deep-neural-networks
deep-learning
graphical-models
attention-mechanism
paper-implementations
graph-embedding
graph-classification
graph-signals
dgcnn
gnn
graph-convolutions
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Feb 2, 2020 - Python
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
graph
sports
basketball
pytorch
vae
gcn
trajectory-prediction
pedestrians
graph-attention-networks
graph-neural-networks
gat
gnn
trajectory-forecasting
human-trajectory
vrnn
dagnet
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Jul 16, 2020 - Python
CNN,RNN ,Activation functions, Graph Convolutional Networks(GCN) for Text Classification
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Feb 5, 2020 - Python
A Pure Keras Implementation of Knowledge Graph Convolution Network for Recommendation
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Sep 25, 2019 - Python
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