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link-prediction
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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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Updated
Jun 21, 2020 - Python
CogDL: An Extensive Research Toolkit for Graphs
leaderboard
pytorch
link-prediction
graph-embedding
graph-classification
node-classification
graph-neural-networks
pytorch-geometric
-
Updated
Jul 7, 2020 - Python
lolski
commented
Feb 7, 2019
The README.md describes what KGCN is, but it does not describe how it will be beneficial for users.
We should have a use-case section describing the kind of problems in which KGCN makes sense as a solution.
Representation learning for link prediction within social networks
graph-algorithms
social-network
networkx
autoencoder
representation-learning
link-prediction
node2vec
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Updated
Sep 4, 2018 - Jupyter Notebook
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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Updated
Jul 18, 2019 - 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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Updated
May 21, 2020
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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Updated
May 16, 2020 - Python
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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Updated
Apr 14, 2020 - Python
Some papers on Knowledge Graph Embedding(KGE)
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Updated
Jul 2, 2020
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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Updated
Jul 7, 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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Updated
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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Updated
Feb 11, 2020 - Python
rafguns
commented
Aug 21, 2018
We should give a full standalone code example in the README, including evaluation.
Spinoff from #12. The example I gave there is this (slightly reworked to take advantage of a7121f8):
import linkpred
import random
from matplotlib import pyplot as plt
random.seed(100)
# Read network
G = linkpred.read_network('examples/inf1990-2004.net')
# Create test network
test = G.sKeras implementation of Structural Deep Network Embedding, KDD 2016
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Updated
May 19, 2018 - Python
Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"
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Updated
Jun 18, 2020 - C
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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Updated
Apr 20, 2020 - Python
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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Updated
Nov 28, 2017 - C++
This repository implements variational graph auto encoder by Thomas Kipf.
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Updated
Jun 28, 2019 - Python
A pytorch implemention of GCN-GAN for temporal link prediction.
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Updated
Aug 18, 2019 - 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
-
Updated
Jul 8, 2020 - Python
[UNMAINTAINED] 基于PySpark与MySQL的复杂网络链路预测。
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Updated
Jan 22, 2018 - Python
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs, ISWC 2019
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Updated
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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Updated
Sep 30, 2019
Implementation of TransE model in PyTorch.
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Updated
Jan 28, 2020 - Python
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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Updated
Jul 5, 2020 - Python
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Updated
Dec 20, 2017 - Java
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Updated
May 1, 2019 - Jupyter Notebook
LEAP (Learning Edges by Aggregation of Paths)
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Updated
May 17, 2019 - Python
This is the implementation of the CULP classification algorithm. The paper introducing this algorithm - `Classification Using Link Prediction`
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Updated
Apr 9, 2020 - Python
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I'm looking to create embeddings for the STRING protein-protein interaction database. In this notebook, I convert this network to
scipy.sparse.csr_matrixandnumpy.arrayformats. The network is big with 19,566 nodes and 11,759,454 (divide that in two for bidi