Pinned Repositories
A-PGNN
Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation"
AcademiCodec
AcademiCodec: An Open Source Audio Codec Model for Academic Research
active-preference-based-gpr
Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
ActiveWeaSuL
adahessian
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
AHGP
[NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)
align_uniform
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.
alpha_omok
Minimal version of DeepMind AlphaZero
dl-notes
dl-rerank
jianzhu's Repositories
jianzhu/dl-rerank
jianzhu/A-PGNN
Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation"
jianzhu/AutoFIS
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
jianzhu/disentangled_graph_collaborative_filtering
Disentagnled Graph Collaborative Filtering, SIGIR2020
jianzhu/DivideMix
Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
jianzhu/dual-bandit-kdd-2020
Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
jianzhu/ESAM
Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)
jianzhu/Fi_GNN
[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"
jianzhu/flyingsquid
More interactive weak supervision with FlyingSquid
jianzhu/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
jianzhu/GCE-GNN
jianzhu/GradNorm
jianzhu/grec
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation
jianzhu/HAN
Heterogeneous Graph Neural Network
jianzhu/HPMN
Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
jianzhu/kgpolicy
Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
jianzhu/knowledge_graph_attention_network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
jianzhu/LightGCN
jianzhu/M2GRL
A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"
jianzhu/MATN
Code for MATN in SIGIR 2020 Industry track
jianzhu/MixText
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
jianzhu/MultiObjectiveOptimization
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
jianzhu/neural_graph_collaborative_filtering
Neural Graph Collaborative Filtering, SIGIR2019
jianzhu/Off-Policy-2-Stage
Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130
jianzhu/PRML
PRML algorithms implemented in Python
jianzhu/RecommendationSystem
jianzhu/SDM
Sequential deep matching model for recommender system at Alibaba
jianzhu/SetRank
Implementation of SetRank in SIGIR 2020
jianzhu/TAGNN
[SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"
jianzhu/Top-K-Query