resistzzz

gcn

Implementation of Graph Convolutional Networks in TensorFlow

pygcn

Graph Convolutional Networks in PyTorch

learning_research

本人的科研经验

DRL

Deep Reinforcement Learning

NRLPapers

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

session-rec

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

metapath2vec

DynamicBind

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

TankBind

Open source code for TankBind. Galixir Tenchnologies

DeepInception

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

FABind

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

NLGraph

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

Prompt4NR

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

BNS

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

MC-GRA

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

VHL-paddle

translation of VHL repo in paddle

SFAT-paddle

MC-GRA

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

VRKG4Rec

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

PARM

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

RGIB

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

GEARP

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

PromptMSP

GNRRW

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

FLCSP

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

HGCAN

SGINM

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

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。