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StellarGraph - Machine Learning on Graphs
gcn
graphs
python
networkx
graph-data
data-science
saliency-map
deep-learning
graph-analysis
link-prediction
interpretability
machine-learning
stellargraph-library
graph-neural-networks
graph-machine-learning
heterogeneous-networks
geometric-deep-learning
machine-learning-algorithms
graph-convolutional-networks
Created
2018-04-13
2,535 commits to develop branch, last one 3 years ago
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Created
2019-03-18
486 commits to master branch, last one about a year ago
🤖 A Python library for learning and evaluating knowledge graph embeddings
Created
2020-02-24
2,896 commits to master branch, last one about a month ago
A curated list of data mining papers about fraud detection.
churn
classifier
data-mining
data-science
deep-learning
fraud-checker
random-forest
classification
credit-scoring
fraud-explorer
fraud-detection
link-prediction
fraud-management
fraud-prevention
credit-card-fraud
gradient-boosting
logistic-regression
graph-classification
credit-card-validation
credit-card-fraud-detection
Created
2019-05-27
175 commits to master branch, last one 9 months ago
This repository has no description...
Created
2017-05-08
151 commits to master branch, last one 2 years ago
PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.
Created
2021-12-18
345 commits to main branch, last one 9 months ago
A repository of pretty cool datasets that I collected for network science and machine learning research.
Created
2019-04-07
335 commits to master branch, last one 9 months ago
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
Created
2020-01-04
18 commits to master branch, last one 4 years ago
TypeDB-ML is the Machine Learning integrations library for TypeDB
This repository has been archived
(exclude archived)
Created
2018-09-16
508 commits to master branch, last one about a year ago
This repository implements variational graph auto encoder by Thomas Kipf.
Created
2019-06-28
5 commits to master branch, last one 4 years ago
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
Created
2023-03-20
67 commits to main branch, last one 10 months ago
[Tool] For Knowledge Graph Representation Learning
Created
2022-01-17
124 commits to main branch, last one 9 months ago
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)
Created
2018-03-06
104 commits to master branch, last one 3 years ago
Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
Created
2021-11-22
7 commits to master branch, last one about a year ago
[SIGIR 2022] Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
Created
2022-04-06
46 commits to main branch, last one 3 months ago
CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia
Created
2020-05-14
225 commits to master branch, last one 3 years ago
Implementation of TransE model in PyTorch.
Created
2019-10-19
19 commits to master branch, last one 5 years ago
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
Created
2018-11-03
51 commits to master branch, last one 3 years ago
Easy link prediction tool
Created
2013-11-28
260 commits to main branch, last one 19 days ago
[Neurocomputing 2023] Relational Graph Transformer for Knowledge Graph Representation
Created
2021-12-21
80 commits to main branch, last one 5 months ago
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
Created
2020-05-19
130 commits to master branch, last one 3 years ago
B站GNN教程资料
Created
2024-01-14
42 commits to main branch, last one 3 months ago
μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications, ISWC 2022
Created
2022-05-06
41 commits to main branch, last one 2 years ago
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
graphs
python
library
networks
benchmark
graph-api
evaluation
data-mining
research-tool
graph-embedding
link-prediction
sign-prediction
graph-algorithms
network-embedding
benchmark-framework
node-classification
network-reconstruction
representation-learning
multilabel-classification
graph-representation-learning
Created
2018-12-22
47 commits to master branch, last one 2 years ago
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
dynamic-graphs
graph-embedding
link-prediction
network-embedding
edge-classification
node-classification
graph-neural-network
graph-neural-networks
dynamic-graph-algorithm
dynamic-graph-embedding
temporal-graph-networks
dynamic-graph-processing
graph-embedding-approaches
graph-centrality-prediction
graph-convolutional-network
graph-representation-learning
Created
2020-01-17
101 commits to master branch, last one about a year ago
Bipartite-network link prediction in Python
Created
2019-10-19
357 commits to master branch, last one 2 years ago
COO: Comic onomatopoeia dataset (ECCV 2022)
Created
2022-07-04
88 commits to main branch, last one about a year ago
Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
Created
2021-06-03
12 commits to main branch, last one 2 years ago
Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2020)
Created
2020-10-20
12 commits to main branch, last one 3 years ago
Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)
Created
2020-11-25
6 commits to master branch, last one 2 years ago