yhjflower's repositories
awesome-deep-gnn
Papers about developing deep Graph Neural Networks (GNNs)
Cpp_Primer_Answers
《C++ Primer》第五版中文版习题答案
Graph_Transformer_Networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
ACNet
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Algorithm-Practice-in-Industry
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
cfrnet
Counterfactual Regression
Co-Action-Network
Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction
Deep-Learning-for-Causal-Inference
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
dlrm
An implementation of a deep learning recommendation model (DLRM)
eat_pyspark_in_10_days
pyspark🍒🥭 is delicious，just eat it!😋😋
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
FANG
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
GATNE
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
Graph-Bert
Source code of Graph-Bert
k-gnn
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
KDDCUP-2020
6th Solution for 2020-KDDCUP Debiasing Challenge
KDDCUP_2020_AutoGraph_1st_Place
KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution
m5_compete
Sliver Solution (Top 2%) for Kaggle M5 Forecasting competition / Kaggle M5沃尔玛销量时间序列预测竞赛 银牌方案(Top 2%)
P-GNN
Position-aware Graph Neural Networks
pytorch-fm
Factorization Machine models in PyTorch
Reproduce-of-Top-K-Off-Policy-Correction-for-a-REINFORCE-Recommender-System
Reproduce of Top-K Off-Policy Correction for a REINFORCE Recommender System
Tencent2020_Rank1st
The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.
uncertainty-calibration
A collection of research and application papers of (uncertainty) calibration techniques.