hhh920406

996.ICU

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

bert

TensorFlow code and pre-trained models for BERT

pytorch_geometric

Graph Neural Network Library for PyTorch

dgl

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

Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

NeuralNLP-NeuralClassifier

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

graphvite

GraphVite: A General and High-performance Graph Embedding System

powerful-gnns

How Powerful are Graph Neural Networks?

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

neural_graph_collaborative_filtering

Neural Graph Collaborative Filtering, SIGIR2019

DGI

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

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".

GATNE

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

disentangled-representation-papers

A curated list of research papers related to learning disentangled representations

Representation-Learning-on-Heterogeneous-Graph

Representation-Learning-on-Heterogeneous-Graph

gc-mc

link-prediction

Representation learning for link prediction within social networks

pytorch_structure2vec

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

xuefu

my first test

KDD2019-MEIRec

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

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].

diffnet

Graph Neural Network based Social Recommendation Model. SIGIR2019.

gcmc

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

STAR-GCN

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

gae_in_pytorch

Graph Auto-Encoder in PyTorch

dgi

TensorFlow implementation of Deep Graph Infomax

GAT2VEC

embedding attributed graphs

GCMC

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

intentgc-models

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

GraphSAGE_RL

Advancing GraphSAGE with A Data-driven Node Sampling