a370865882

a370865882's Stars

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.8k7511.2k7.8k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21k2523.5k3.6k

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

  Language:HTML17.4k7536283.6k

• hongleizhang/RSPapers

  A Curated List of Must-read Papers on Recommender System.

  6.1k33341.3k

• tkipf/pygcn

  Graph Convolutional Networks in PyTorch

  Language:Python5.1k55701.2k

• PetarV-/GAT

  Graph Attention Networks (https://arxiv.org/abs/1710.10903)

  Language:Python3.2k4576642

• alibaba/euler

  A distributed graph deep learning framework.

  Language:C++2.9k138317559

• aditya-grover/node2vec

  Language:Scala2.6k63101912

• guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

  Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

  Language:Python1.4k521219

• mouna99/dien

  Language:Python1.1k4156402

• Jhy1993/HAN

  Heterogeneous Graph Neural Network

  Language:Python1.1k1258220

• Tiiiger/SGC

  official implementation for the paper "Simplifying Graph Convolutional Networks"

  Language:Python8291829146

• benedekrozemberczki/ClusterGCN

  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

  Language:Python7842038134

• Leavingseason/xDeepFM

  Language:Python7432719220

• matenure/FastGCN

  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

  Language:Python5141228111

• kuandeng/LightGCN

  Language:Python478522126

• xptree/DeepInf

  DeepInf: Social Influence Prediction with Deep Learning

  Language:Python29114986

• weiyinwei/MMGCN

  MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video

  Language:Python28065852

• hoyeoplee/MeLU

  Language:Python17831452

• layer6ai-labs/DropoutNet

  Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"

  Language:Python17312343

• graytowne/rank_distill

  A PyTorch implementation of Ranking Distillation

  Language:Python853213

• jimmyyfeng/smpcup2016

  5th Place Solution for smp cup competition

  Language:Python786638

• afshinrahimi/geographconv

  Semi-supervised User Geolocation via Graph Convolutional Networks

  Language:Python675618

• TuftsBCB/Walker

  Python implementation of Kohler et al.'s random walk with restart

  Language:Python283414

• HongyangGao/hConv-gPool-Net

  TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)

  Language:Python27315

• liu-jc/PyTorch_NGCF

  PyTorch Implemenation for Neural Graph Collaborative Filtering

  Language:Python27327

• Anna146/HiddenAttributeModels

  HAM

  Language:Python19479

• JoonyoungYi/LLORMA-tensorflow

  The tensorflow prototype of "Local Low-rank Matrix Approximation" (LLORMA)

  Language:Python11201

• saurabh-kumar-vit/google-le-net

  Language:Python2100