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alibaba / euler

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 Jun 26, 2022
C++

PaddlePaddle / PGL

Star

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 Sep 28, 2022
Python

awslabs / dgl-ke

Star

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 Sep 30, 2022
Python

tensorflow / neural-structured-learning

Star

Training neural models with structured signals.

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

Updated Sep 29, 2022
Python

wenwenyu / PICK-pytorch

Star

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 Jun 22, 2022
Python

quiver-team / torch-quiver

Star

PyTorch Library for Fast and Easy Distributed Graph Learning

distributed-computing pytorch gpu-acceleration geometric-deep-learning graph-learning graph-neural-networks

Updated Jul 2, 2022
Python

hugochan / IDGL

Star

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 Jun 22, 2022
Python

huawei-noah / BGCN

Star

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

choderalab / espaloma

Star

Extensible Surrogate Potential of Ab initio Learned and Optimized by Message-passing Algorithm 🍹https://arxiv.org/abs/2010.01196

graph-learning forcefield-parameterization

Updated Sep 30, 2022
Python

cornell-zhang / GraphZoom

Star

GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding

graph-learning

Updated Jun 22, 2022
Python

rubenwiersma / deltaconv

Star

Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

point-cloud pytorch differential-geometry point-cloud-segmentation geometric-deep-learning graph-learning point-cloud-classification

Updated Sep 28, 2022
Jupyter Notebook

ai4ce / DiscoNet

Star

[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception

computer-vision deep-learning graph autonomous-driving knowledge-distillation communication-networks v2v collaborative-learning multi-agent-learning multi-agent-system graph-learning 3d-object-detection point-cloud-processing v2x-communication multi-agent-perception 3d-scene-understanding

Updated Sep 22, 2022

gmh14 / data_efficient_grammar

Star

[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation

formal-languages graph-learning graph-neural-networks grammar-learning molecule-generation symbolic-representation efficient-deep-learning

Updated Mar 1, 2022
Jupyter Notebook

opencog / learn

Star

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 Sep 29, 2022
Scheme

BorgwardtLab / TOGL

Star

Topological Graph Neural Networks (ICLR 2022)

machine-learning pytorch persistent-homology graph-classification node-classification graph-learning pytorch-geometric iclr2022

Updated Jun 10, 2022
Python

wang-chen / LGL

Sponsor

Star

Lifelong Graph Learning (CVPR 2022 Oral)

pytorch lifelong-learning graph-learning

Updated Mar 5, 2022
Python

coperception / coperception

Star

SDK for multi-agent collaborative perception.

computer-vision deep-learning graph autonomous-driving knowledge-distillation communication-networks v2v collaborative-learning multi-agent-learning multi-agent-system graph-learning 3d-object-detection point-cloud-processing v2x-communication multi-agent-perception 3d-scene-understanding

Updated Sep 18, 2022
Python

EdisonLeeeee / Awesome-Fair-Graph-Learning

Star

Paper Lists for Fair Graph Learning (FairGL).

fairness graph-learning graph-neural-networks

Updated Sep 26, 2022

Wang-ML-Lab / GRDA

Star

[ICLR 2022] Graph-Relational Domain Adaptation

deep-learning graphs game-theory transfer-learning relational-learning adversarial-learning domain-adaptation deep-learning-models graph-learning statistical-machine-learning

Updated Jun 11, 2022
Python

joshchang1112 / bert_gnn_arxiv

Star

Multi-class Classification with fine-tuned BERT & GNN

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

Updated Sep 7, 2021
Jupyter Notebook

graph-learning

Here are 60 public repositories matching this topic...

alibaba / euler

PaddlePaddle / PGL

awslabs / dgl-ke

tensorflow / neural-structured-learning

wenwenyu / PICK-pytorch

quiver-team / torch-quiver

hugochan / IDGL

huawei-noah / BGCN

choderalab / espaloma

cornell-zhang / GraphZoom

rubenwiersma / deltaconv

ai4ce / DiscoNet

gmh14 / data_efficient_grammar

opencog / learn

BorgwardtLab / TOGL

wang-chen / LGL

coperception / coperception

EdisonLeeeee / Awesome-Fair-Graph-Learning

Wang-ML-Lab / GRDA

joshchang1112 / bert_gnn_arxiv

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