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graph-machine-learning
Here are 37 public repositories matching this topic...
Benchmark datasets, data loaders, and evaluators for graph machine learning
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Jul 1, 2022 - Python
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
text-classification
transformer
graph-machine-learning
graph-embeddings
graph-classification
self-attention
graph-neural-networks
graph-representation-learning
transformer-models
node-embeddings
graph-deep-learning
graph-transformer
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Updated
Mar 10, 2022 - Python
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
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May 22, 2022 - Python
A curated list of graph data augmentation papers.
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Jun 24, 2022
Implementation of Directional Graph Networks in PyTorch and DGL
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Apr 4, 2021 - Python
Papers on Graph Analytics, Mining, and Learning
graph
graph-algorithms
parallel-computing
graph-theory
graph-databases
graph-analytics
graph-mining
graph-partitioning
graph-machine-learning
random-walk
graph-clustering
graph-pattern-matching
graph-sampling
graph-neural-networks
graph-coarsening
graph-pattern-mining
hardware-accelerators
graph-querying
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Jul 7, 2022
Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs
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Aug 27, 2020 - Scala
SignNet and BasisNet
machine-learning
deep-learning
graph
graph-machine-learning
graph-convolutional-networks
graph-neural-networks
transformer-models
graph-transformer
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Updated
May 22, 2022 - Python
Code for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks"
machine-learning
imputation
graph-machine-learning
spatiotemporal-data-analysis
multivariate-timeseries-analysis
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Jun 22, 2022 - Python
[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links
knowledge
transformer
question-answering
pretrained-models
language-model
graph-machine-learning
biomedical-applications
pretraining
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Updated
Apr 5, 2022 - Python
Build ML pipelines for Computer Vision, NLP and Graph Neural Networks using Triton Server.
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Jul 5, 2022 - Jupyter Notebook
IDAO 2022: Machine Learning Bootcamp
competition
education
machine-learning
deep-learning
neural-networks
data-analysis
graph-machine-learning
boosting
categorical-data
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Dec 4, 2021 - Jupyter Notebook
OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design.
deep-learning
datasets
logic-synthesis
graph-machine-learning
electronics-design
graph-neural-networks
electronics-design-automation
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May 16, 2022 - Jupyter Notebook
Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
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Jun 22, 2022 - Python
TigerLily: Finding drug interactions in silico with the Graph.
machine-learning
node
deep-learning
graph
ddi
biology
network-science
knowledge-graph
graph-database
unsupervised-learning
embedding
graph-machine-learning
gradient-boosting
graph-embedding
pharmaceuticals
node-embedding
tigergraph
drug-drug-interaction
heterogeneous-graph
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Updated
Apr 19, 2022 - Jupyter Notebook
Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks"
graph-visualization
graph-mining
graph-machine-learning
shared-memory-parallel
graph-embedding
graph-neural-netowrks
general-purpose-library
fused-kernel
graph-learning-kernel
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May 29, 2022 - C
Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining
machine-learning
natural-language-processing
social-network
transformers
network-analysis
graph-machine-learning
contextual-embeddings
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Oct 22, 2021 - Jupyter Notebook
Source code of ME2Vec.
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Updated
May 6, 2021 - Python
Precision Medicine Knowledge Graph (PrimeKG)
bioinformatics
dataset
knowledge-graph
nlp-machine-learning
graph-machine-learning
precision-medicine
therapeutics
network-medicine
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Updated
May 10, 2022 - Jupyter Notebook
ComptoxAI - An artificial Intelligence toolkit for computational toxicology
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Updated
Jul 6, 2022 - Python
Data and code for Salesforce Research paper, GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning - https://arxiv.org/abs/2012.03900 . The paper provides methods for constraint graph augmentation and optimal facility placement problems
reinforcement-learning
ai
graph-algorithms
social-network
ml
deep-reinforcement-learning
rl
social-network-analysis
equity
graph-machine-learning
resource-management
graph-ml
fairness-ai
constraint-optimization
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Jul 5, 2022 - HTML
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Jun 2, 2022 - Python
G-XAI Bench: Resource to support the development and evaluation of GNN explainers
benchmarking
deep-learning
embeddings
graph-machine-learning
interpretability
explainable-ai
explainable-ml
graph-neural-networks
explainability
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Updated
May 2, 2022 - Python
Predicting Python method name given an Abstract Syntax Tree
ast
graph-machine-learning
graph-convolutional-networks
graph-feature
virtual-nodes
graph-neural-network
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Apr 10, 2022 - Jupyter Notebook
Pytorch Geometric link prediction of a homogeneous social graph.
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Dec 30, 2021 - Jupyter Notebook
A benchmark suite for Graph Machine Learning
benchmarking
graph
graph-algorithms
openmp
cuda
gpu-computing
graph-machine-learning
graph-neural-networks
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Jul 6, 2022 - C++
When real time Yoga Position classification meets GNN
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Updated
May 7, 2022 - Python
An experimental jazz collaboration graph for Neo4J
data-science
machine-learning
ai
neo4j
graph
community-detection
musicbrainz
dataset
graph-database
network-analysis
cypher
graph-machine-learning
jazz-musicians
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Oct 25, 2019
A curated list of amazingly awesome things regarding Graph Structure Learning.
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Updated
May 24, 2022
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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/