#
gnn
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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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Feb 11, 2021 - Python
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
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Nov 13, 2020 - Python
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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Mar 5, 2021 - 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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Feb 15, 2021 - 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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Feb 11, 2021
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
A PyTorch Graph Neural Network Library
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Feb 23, 2021 - 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
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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Feb 11, 2021 - Python
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Jan 20, 2021 - C++
Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers
nlp
naacl
notes
presentation
slides
acl
presentations
conversation
gan
generation
summarization
emnlp
knowledge-distillation
data-augmentation
aaai
meta-learning
graph-neural-networks
gnn
pretrain
non-autoregressive
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Jan 3, 2021
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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Feb 20, 2021
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
Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
deep-learning
pytorch
ehr
electronic-health-records
alzheimer-disease-prediction
graph-neural-networks
disease-prediction
gnn
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Feb 26, 2021 - 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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Feb 11, 2021 - Python
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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Updated
Dec 21, 2020 - Python
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
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Updated
Oct 20, 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
Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
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Feb 27, 2021 - 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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Feb 13, 2021 - Python
Code for reproducing results in GraphMix paper
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Updated
May 9, 2020 - Python
A real-time GNN-based method. Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective
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Mar 3, 2021
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
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
data-science
machine-learning
deep-learning
cheminformatics
network-science
pathfinding
pytorch
deepwalk
pathfinder
molecules
multiplex
message-passing
gcn
node2vec
graph-classification
node-classification
neural-message-passing
graph2vec
gnn
graph-neural-network
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Feb 11, 2021 - Python
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Hello AliGraph people!
I read the VLDB 2019 paper and I found it very interesting. It is great that the project is open source.
I am wondering if I can implement my own embedding algorithm on top of your system. For example can I implement DeepWalk in AliGraph?
If yes, do you provide abstractions for defining random-walk operations in AliGraph?
If no, is it possible to build such abstrac