Pinned Repositories
Adv-ALSTM
Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019
BPR
Experiments codes for WWW 2018 Poster paper "An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data "
BUAANICEPROF
This repository aims to recommend nice supervisors in Beihang University via crowd-sourcing
Causal_Reading_Group
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
CGI
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
Counterfactual_Reasoning_Model
The source code of "Empowering Language Understanding with Counterfactual Reasoning" (ACL'21)
Cross-GCN
Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions
GraphAT
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
Partial_Order_Hypergraph
Source code of partial-order hypergraph and baselines in our WWW 2018 paper, Learning on Partial-Order Hypergraphs
Temporal_Relational_Stock_Ranking
Code for paper "Temporal Relational Ranking for Stock Prediction"
fulifeng's Repositories
fulifeng/Causal_Reading_Group
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
fulifeng/Temporal_Relational_Stock_Ranking
Code for paper "Temporal Relational Ranking for Stock Prediction"
fulifeng/Adv-ALSTM
Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019
fulifeng/GraphAT
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
fulifeng/BUAANICEPROF
This repository aims to recommend nice supervisors in Beihang University via crowd-sourcing
fulifeng/Counterfactual_Reasoning_Model
The source code of "Empowering Language Understanding with Counterfactual Reasoning" (ACL'21)
fulifeng/Cross-GCN
Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions
fulifeng/CGI
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
fulifeng/Partial_Order_Hypergraph
Source code of partial-order hypergraph and baselines in our WWW 2018 paper, Learning on Partial-Order Hypergraphs
fulifeng/Financial_Event_Ranking
fulifeng/FreqNet_
stock price prediction; financial text; time horizon
fulifeng/AdaptiveSFM
Adaptive State-Frequency Memory Recurrent Neural Network
fulifeng/FinancialDatasets
SmoothNLP 金融文本数据集(公开) Public Financial Datasets for NLP Researches Only
fulifeng/Reinforcement-learning-for-portfolio-allocation
Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation
fulifeng/BPR
Experiments codes for WWW 2018 Poster paper "An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data "
fulifeng/googlefinance-client-python
googlefinance.client is a python client library for google finance api.
fulifeng/Reliability-Modeling-for-Stock-Comments
Reliability Modeling for Stock Comment
fulifeng/State-Frequency-Memory-stock-prediction
fulifeng/vat_tf
Virtual adversarial training with Tensorflow
fulifeng/CausalInferenceChallenges
fulifeng/FinBERT
BERT for Finance : UC Berkeley MIDS w266 Final Project
fulifeng/gcn
Implementation of Graph Convolutional Networks with Regression Loss in TensorFlow
fulifeng/planetoid
Semi-supervised learning with graph embeddings
fulifeng/tran_cur
fulifeng/4EBaseMetal
fulifeng/bgnn
bilinear graph neural network
fulifeng/fulifeng.github.io
fulifeng/nntimeseries
fulifeng/pretrain-gnns
Strategies for Pre-training Graph Neural Networks
fulifeng/simple_shot