#
link-prediction
Here are 131 public repositories matching this topic...
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Updated
Aug 4, 2020 - Python
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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Jul 25, 2021 - Python
CogDL: An Extensive Toolkit for Deep Learning on Graphs
leaderboard
pytorch
link-prediction
graph-embedding
graph-classification
node-classification
graph-neural-networks
pytorch-geometric
gnn-model
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Aug 13, 2021 - Python
cthoyt
commented
Aug 25, 2020
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)
From @mberr: Referencing the 1.7.1 release tracker here, in case they mention something about it: pytorch/pytorch#47622
It would be interesting to test updated imp
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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May 31, 2021 - Python
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
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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Jul 30, 2021
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
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
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) (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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May 7, 2021 - 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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Apr 14, 2021 - Python
Easy link prediction tool
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Apr 29, 2021 - 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
This repository implements variational graph auto encoder by Thomas Kipf.
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Aug 3, 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
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
sign-prediction
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Jul 9, 2021 - Python
CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia
nlp
wikipedia
wikidata
knowledge-graph
knowledge-base
link-prediction
knowledge-representation
knowledge-representation-reasoning
knowledge-graph-embeddings
triple-classification
knowledge-representation-learning
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Mar 20, 2021 - Python
Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"
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Jun 18, 2020 - C
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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May 21, 2021 - 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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Nov 28, 2017 - C++
Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2020).
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Mar 26, 2021 - Python
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
edge-classification
network-embedding
link-prediction
dynamic-graph-algorithm
graph-embedding
graph-convolutional-network
node-classification
graph-neural-networks
graph-representation-learning
dynamic-graphs
graph-neural-network
dynamic-graph-embedding
dynamic-graph-processing
temporal-graph-networks
graph-embedding-approaches
graph-centrality-prediction
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Dec 10, 2020 - 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
Friends Recommendation and Link Prediction in Social Netowork
machine-learning
facebook
social-network
dataset
networkx
recommender-system
social-network-analysis
network-embedding
datamining
link-prediction
graphalgorithm
networkx-graph
linkprediction
networkx-drawing-utilities
friends-recommender
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May 24, 2021 - Jupyter Notebook
QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings (NeurIPS 2020 Workshop on DiffGeo4DL) (Pytorch)
knowledge-graph-completion
link-prediction
quaternion-algebra
knowledge-base-completion
knowledge-graph-embeddings
hamilton-product
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May 18, 2021 - Python
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
link-prediction
graph-convolutional-network
node-classification
graph-neural-network
relational-graphs
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Aug 11, 2021 - Python
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Description
Currently our unit tests are disorganized and each test creates example StellarGraph graphs in different or similar ways with no sharing of this code.
This issue is to improve the unit tests by making functions to create example graphs available to all unit tests by, for example, making them pytest fixtures at the top level of the tests (see https://docs.pytest.org/en/latest/