The Wayback Machine - https://web.archive.org/web/20210815184754/https://github.com/topics/graph-learning

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graph-learning

Here are 34 public repositories matching this topic...

alibaba / euler

Star

A distributed graph deep learning framework.

deep-learning graph network-embedding random-walk graph-convolutional-networks gcn node2vec graph-embedding graph-learning graphsage graph-neural-networks ggnn

Updated Apr 19, 2021
C++

PaddlePaddle / PGL

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Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

graph metapath graph-learning graph-neural-network heterogeneous-graph-learning

Updated Aug 13, 2021
Python

tensorflow / neural-structured-learning

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Training neural models with structured signals.

tensorflow keras neural-networks regularization adversarial-learning graph-learning structured-signals

Updated Aug 13, 2021
Python

awslabs / dgl-ke

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High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

machine-learning knowledge-graph knowledge-graphs-embeddings graph-learning dgl

Updated Aug 3, 2021
Python

wenwenyu / PICK-pytorch

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Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

document-analysis graph-convolutional-network graph-learning graph-neural-networks document-understanding key-information-extraction

Updated Jul 6, 2021
Python

hugochan / IDGL

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Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

deep-learning pytorch robustness graph-learning graph-neural-networks

Updated Mar 26, 2021
Python

huawei-noah / BGCN

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A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

gcn bayesian-neural-networks graph-convolutional-network graph-learning graph-neural-networks graph-convolutional-neural-networks gnn bayesian-graph-neural-networks

Updated Sep 8, 2019
Python

cornell-zhang / GraphZoom

Star

Updated Apr 20, 2021
Python

opencog / learn

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Neuro-symbolic interpretation learning (mostly just language-learning, for now)

neural-network natural-language natural-language-understanding graph-learning symbolic-ai natural-language-learning

Updated Aug 10, 2021
Scheme

choderalab / espaloma

Star

Open

restructure

6

yuanqing-wang commented May 17, 2020

I think it's time, for the sake of scaling this up to more systematic experiments, to restructure this project.

The primary challenge I realized when designing experiments and structuring the current project is that, there are too many parts in this streamline that we want to model. Specifically:

molecule object (rdkit.Molecule, openeye.GraphMol, or openforcefield.Molecule)

&#859

Read more

good first issue

navid-naderi / WEGL

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The implementation code for our paper Wasserstein Embedding for Graph Learning (WEGL).

pytorch graph-learning pytorch-geometric wasserstein-embedding

Updated Jan 22, 2021
Jupyter Notebook

youweiliang / ConsistentGraphLearning

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MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"

clustering clustering-algorithm spectral-clustering multi-view-clustering multiview-learning multiview-clustering graph-learning

Updated Oct 1, 2020
MATLAB

vzantedeschi / Dada

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source code of [Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs](http://proceedings.mlr.press/v108/zantedeschi20a.html)

boosting multi-task-learning graph-learning decentralized-learning

Updated Dec 1, 2020
Jupyter Notebook

youweiliang / Multi-view_Graph_Learning

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Code for the paper "Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency"

clustering multi-view-clustering graph-learning multi-view-learning multi-view

Updated Dec 20, 2020
C++

Kaushalya / gnn-meta-attack-pytorch

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Pytorch Implementation of GNN Meta Attack paper.

machine-learning meta-learning adversarial-attacks graph-learning graph-neural-networks

Updated Jul 1, 2019
Python

sangttruong / ginrummy

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A data-driven approach for Gin Rummy hand evaluation

reinforcement-learning neural-network card-game graph-learning

Updated Aug 6, 2021
Java

zgornel / NetworkLearning.jl

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Baseline collective classification library

julia inference classification learners adjacency-matrix graph-learning collective-classification

Updated Feb 8, 2020
Julia

xinzhou-ntu / tGraph

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Papers related with dynamic/time-series graph

graph graph-learning dynamic-graph time-series-graph time-aware-recommendation

Updated May 11, 2021

joshchang1112 / bert_gnn_arxiv

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Multi-class Classification with fine-tuned BERT & GNN

nlp tensorflow pytorch bert gcn graph-learning graph-neural-networks

Updated Feb 22, 2021
Jupyter Notebook

NNK_graph_construction

STAC-USC / NNK_graph_construction

Star

Graph construction from data using Non Negative Kernel Regression

semi-supervised-learning knn-graphs graph-learning graph-construction

Updated Feb 6, 2020
MATLAB

basiralab / ReMI-Net

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Recurrent multigraph integrator network using graph neural network.

recurrent-neural-networks brain-connectivity geometric-deep-learning graph-learning graph-neural-networks graph-fusion graph-prediction connectional-brain-template generative-learning graph-integration

Updated Jun 23, 2021
Python

Hacky-DH / graph_data_parser

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graph_data_parser for euler

euler graph graph-computing graph-embedding graph-learning

Updated Jul 4, 2019
Java

PyNNK_graph_construction

STAC-USC / PyNNK_graph_construction

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Graph construction using Non Negative Kernel regression

knn-graphs graph-learning graph-construction epsilon-graphs

Updated Oct 7, 2020
Python

kpzhang / casflow

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Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction

social-networks information-diffusion graph-learning normalizing cascade-prediction

Updated May 18, 2020
Python

sangttruong / stereonet

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A stereo-aware attention graph neural network

drug-discovery attention graph-learning

Updated Jul 8, 2021
Python

Hong-Ming / GLA_Interpolator

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Official code for "Graph Learning and Augmentation Based Interpolation of Signal Strength for Location-aware Communications", EUSIPCO 2020.

communication signal-processing graph-learning

Updated Dec 31, 2020
MATLAB

Hong-Ming / CGP_and_SVAR

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Implementation and comparison of two graph learning methods: Causal Graph Process (CGP) & Sparse Vector Autoregressive model (SVAR)

Updated Dec 30, 2020
MATLAB

philqc / node2vec

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Node2Vec implementation using only pandas, numpy and gensim

node2vec graph-learning

Updated Feb 13, 2020
Python

anshul3899 / Structured-Graph-Learning

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Python implementation of the Structured Graph Learning (SGL) algorithm by Kumar et. al (2019, https://papers.nips.cc/paper/9339-structured-graph-learning-via-laplacian-spectral-constraints)

graph-algorithms kumar graph-learning neurips-2019 structured-graph-learning laplacian-estimation adjacency-estimation

Updated Nov 19, 2020
Python

anshul3899 / thesis

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Anshul Yadav's BTech Thesis

graph-algorithms graph-learning graph-model-selection graph-structure-identifiability graph-learning-from-data

Updated Jan 31, 2021
TeX

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