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Aug 4, 2020 - Python
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link-prediction
Here are 95 public repositories matching this topic...
A curated list of data mining papers about fraud detection.
classifier
data-science
data-mining
deep-learning
random-forest
credit-card-fraud
classification
fraud-management
logistic-regression
fraud-prevention
credit-scoring
churn
link-prediction
fraud-detection
gradient-boosting
fraud-checker
graph-classification
credit-card-validation
credit-card-fraud-detection
fraud-explorer
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Aug 27, 2020 - Python
CogDL: An Extensive Research Toolkit for Graphs
leaderboard
pytorch
link-prediction
graph-embedding
graph-classification
node-classification
graph-neural-networks
pytorch-geometric
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Oct 6, 2020 - Python
Grakn Knowledge Graph Library (ML R&D)
python
machine-learning
ai
neural-network
graph
tensorflow
graphs
ml
artificial-intelligence
knowledge-graph
knowledgebase
knowledge-graph-completion
relational-learning
link-prediction
graph-convolutional-networks
grakn
graql
geometric-deep-learning
graph-networks
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Aug 26, 2020 - Python
Representation learning for link prediction within social networks
graph-algorithms
social-network
networkx
autoencoder
representation-learning
link-prediction
node2vec
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Sep 4, 2018 - Jupyter Notebook
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
deep-learning
pytorch
link-prediction
graph-convolutional-networks
graph-representation-learning
relation-embeddings
iclr2020
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Jul 20, 2020 - Python
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
deep-learning
semi-supervised-learning
autoencoders
link-prediction
graph-representation
node-classification
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Jul 18, 2019 - Python
Some papers on Knowledge Graph Embedding(KGE)
link-prediction
knowledge-base-completion
knowledge-graph-embedding
multi-relational-data-embedding
knowledge-representation-learning
knowledge-base-base
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Aug 21, 2020
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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Oct 8, 2020
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
gae
deepwalk
matrix-factorization
network-embedding
link-prediction
node2vec
graph-embedding
node-classification
graph-embedding-methods
struc2vec
sdne
graph-embeddings-evaluation
biomedical-networks
line-embedding
graph-factorization
biomedical-graphs
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Apr 14, 2020 - Python
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (In Pytorch and Tensorflow)
knowledge-graph-completion
convolutional-neural-network
link-prediction
knowledge-base-completion
knowledge-graph-embeddings
wn18rr
knowledge-base-embeddings
pytorch-implementation
knowledge-graphs
fb15k237
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Aug 12, 2020 - Python
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
knowledge-graph
knowledge-base
knowledge-graph-completion
link-prediction
knowledge-base-completion
knowledge-graph-embeddings
capsule-network
capsule-neural-networks
knowledge-base-embeddings
search-personalization
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May 17, 2020 - Python
SimplE Embedding for Link Prediction in Knowledge Graphs
tensorflow
knowledge-graph
knowledgebase
tensor-factorization
knowledge-base
knowledge-graph-completion
relational-learning
link-prediction
knowledge-base-completion
knowledge-graph-embeddings
statistical-relational-learning
starai
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Feb 11, 2020 - Python
Easy link prediction tool
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Oct 4, 2020 - Python
Keras implementation of Structural Deep Network Embedding, KDD 2016
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May 19, 2018 - Python
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
python
benchmark
data-mining
library
graph-algorithms
graphs
python-library
evaluation
research-tool
networks
representation-learning
benchmark-framework
graph-api
network-embedding
link-prediction
multilabel-classification
graph-embedding
node-classification
network-reconstruction
graph-representation-learning
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Apr 20, 2020 - Python
Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"
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Jun 18, 2020 - C
STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)
knowledge-graph-completion
embedding-models
link-prediction
transe
stranse
knowledge-base-completion
knowledge-graph-embeddings
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Nov 28, 2017 - C++
This repository implements variational graph auto encoder by Thomas Kipf.
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Aug 3, 2020 - Python
Variational Graph Recurrent Neural Networks - PyTorch
representation-learning
variational-inference
link-prediction
graph-convolutional-networks
variational-autoencoder
variational-autoencoders
graph-embedding
graph-neural-networks
graph-representation-learning
node-embedding
dynamic-graphs
graph-auto-encoder
graph-neural-network
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Jul 8, 2020 - Python
A pytorch implemention of GCN-GAN for temporal link prediction.
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Aug 18, 2019 - Python
Implementation of TransE model in PyTorch.
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Sep 26, 2020 - Python
[UNMAINTAINED] 基于PySpark与MySQL的复杂网络链路预测。
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Jan 22, 2018 - Python
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs, ISWC 2019
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Dec 21, 2019 - Python
It provides some typical graph embedding techniques based on task-free or task-specific intuitions.
community-detection
diffusion-maps
message-passing
random-walk
link-prediction
graph-kernels
graph-embedding
graph-classification
node-classification
graph-neural-networks
rare-category-detection
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Sep 30, 2019
LEAP (Learning Edges by Aggregation of Paths)
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May 17, 2019 - Python
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Dec 20, 2017 - Java
Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks
machine-learning
recurrent-neural-networks
autoencoder
social-network-analysis
link-prediction
nonparametric-model
dynamic-networks
heterogeneous-information-networks
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Jul 5, 2020 - Python
Code for Predictive Network Representation Learning (SIGIR 2017)
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Apr 24, 2020 - Python
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As of the PyTorch 1.6 release on July 28th, 2020, there is a native type for tensors of complex numbers (see: https://pytorch.org/docs/stable/complex_numbers.html)
It would be interesting to test updated implementations of models using complex numbers such as RotatE and ComplEx to see if we can make them more elegant using this new trick