hhh (hhh920406)

hhh920406

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Company:UESTC

Location:Chinese

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hhh's starred repositories

xuefu

my first test

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powerful-gnns

How Powerful are Graph Neural Networks?

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disentangled-representation-papers

A curated list of research papers related to learning disentangled representations

Stargazers:464Issues:0Issues:0

GraphSAGE_RL

Advancing GraphSAGE with A Data-driven Node Sampling

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intentgc-models

Research works on different versions of IntentGC and several state-of-the-art algorithms on public amazon data

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NeuralNLP-NeuralClassifier

An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

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graphvite

GraphVite: A General and High-performance Graph Embedding System

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STAR-GCN

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

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KDD2019-MEIRec

KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation

Language:PythonStargazers:186Issues:0Issues:0

SEAL

SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".

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bert

TensorFlow code and pre-trained models for BERT

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GATNE

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

Language:PythonLicense:MITStargazers:520Issues:0Issues:0

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Language:PythonLicense:MITStargazers:1037Issues:0Issues:0

link-prediction

Representation learning for link prediction within social networks

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gae_in_pytorch

Graph Auto-Encoder in PyTorch

Language:PythonLicense:Apache-2.0Stargazers:81Issues:0Issues:0

ARGA

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

Language:PythonLicense:MITStargazers:185Issues:0Issues:0

neural_graph_collaborative_filtering

Neural Graph Collaborative Filtering, SIGIR2019

Language:PythonLicense:MITStargazers:781Issues:0Issues:0

diffnet

Graph Neural Network based Social Recommendation Model. SIGIR2019.

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GAT2VEC

embedding attributed graphs

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pytorch_structure2vec

pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)

Language:PythonLicense:MITStargazers:303Issues:0Issues:0

Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

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gcmc

Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)

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GCMC

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

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996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

License:NOASSERTIONStargazers:269444Issues:0Issues:0

Representation-Learning-on-Heterogeneous-Graph

Representation-Learning-on-Heterogeneous-Graph

Stargazers:433Issues:0Issues:0

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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pytorch_geometric

Graph Neural Network Library for PyTorch

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DGI

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

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dgi

TensorFlow implementation of Deep Graph Infomax

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