resistzzz

resistzzz's Stars

• tkipf/gcn

  Implementation of Graph Convolutional Networks in TensorFlow

  Language:Python7.1k1571942k

• pengsida/learning_research

  本人的科研经验

  5.9k7128345

• tkipf/pygcn

  Graph Convolutional Networks in PyTorch

  Language:Python5.2k55701.2k

• wangshusen/DRL

  Deep Reinforcement Learning

  3.3k4255586

• thunlp/NRLPapers

  Must-read papers on network representation learning (NRL) / network embedding (NE)

  Language:TeX2.5k2499647

• rn5l/session-rec

  Python-based framework for building and evaluating session-based and session-aware recommender systems.

  Language:Python385101578

• luwei0917/DynamicBind

  repo for DynamicBind: Predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model

  Language:Jupyter Notebook19273742

• apple2373/metapath2vec

  Language:Python185101059

• luwei0917/TankBind

  Open source code for TankBind. Galixir Tenchnologies

  Language:Python15073049

• tmlr-group/DeepInception

  [arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"

  Language:Python1174011

• Arthur-Heng/NLGraph

  Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)

  Language:Python113194

• QizhiPei/FABind

  FABind: Fast and Accurate Protein-Ligand Binding (NeurIPS 2023)

  Language:Python11131615

• resistzzz/Prompt4NR

  Source code for SIGIR 2023 paper: Prompt Learning for News Recommendation

  Language:Python791511

• liubin06/BNS

  Bayesian negative sampling is the theoretically optimal negative sampling algorithm that runs in linear time.

  Language:Python41111

• tmlr-group/MC-GRA

  [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"

  Language:Python31101

• shenlei515/VHL-paddle

  translation of VHL repo in paddle

  Language:Python25100

• warriors-30/SFAT-paddle

  Language:Python24100

• AndrewZhou924/MC-GRA

  [ICML 2023] On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation

  Language:Python23202

• lulu0913/VRKG4Rec

  This is the PyTorch Implementation for our model VRKG4Rec (WSDM'23)

  Language:Python19271

• wwangwitsel/PARM

  [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization

  Language:MATLAB19110

• AndrewZhou924/RGIB

  [NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction

  Language:Python10112

• kiminh/GEARP

  The code base for GEAPR: Graph Enhanced Attention network for explainable POI Recommendation

  85

• resistzzz/GNRRW

  Graph Neighborhood Routing and Random Walk for Session-based Recommendation (2021, ICDM)

  Language:Python8202

• zqgao22/PromptMSP

  Language:Python8221

• resistzzz/FLCSP

  Code for paper "Fusion of Latent Categorical Prediction and Sequential Prediction for Session-based Recommendation (2021, Information Sciences)"

  Language:Python5211

• resistzzz/HGCAN

  Language:Python5121

• resistzzz/SGINM

  Code for paper "Learning Sequential And General Interests via A Joint Neural Model for Session-based Recommendation"

  Language:Python3201

• resistzzz/Put_Flavors_SA

  2018华为软件精英挑战赛，采用模拟退火算法+首次适应算法寻找最优化放置虚拟机方法。

  Language:C++1101