Fuli Feng's repositories

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.

Temporal_Relational_Stock_Ranking

Code for paper "Temporal Relational Ranking for Stock Prediction"

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Adv-ALSTM

Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019

GraphAT

Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure

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BUAANICEPROF

This repository aims to recommend nice supervisors in Beihang University via crowd-sourcing

Cross-GCN

Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions

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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)

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Partial_Order_Hypergraph

Source code of partial-order hypergraph and baselines in our WWW 2018 paper, Learning on Partial-Order Hypergraphs

FreqNet_

stock price prediction; financial text; time horizon

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AdaptiveSFM

Adaptive State-Frequency Memory Recurrent Neural Network

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FinancialDatasets

SmoothNLP 金融文本数据集(公开) Public Financial Datasets for NLP Researches Only

Reinforcement-learning-for-portfolio-allocation

Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation

BPR

Experiments codes for WWW 2018 Poster paper "An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data "

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googlefinance-client-python

googlefinance.client is a python client library for google finance api.

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Reliability-Modeling-for-Stock-Comments

Reliability Modeling for Stock Comment

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vat_tf

Virtual adversarial training with Tensorflow

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FinBERT

BERT for Finance : UC Berkeley MIDS w266 Final Project

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gcn

Implementation of Graph Convolutional Networks with Regression Loss in TensorFlow

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planetoid

Semi-supervised learning with graph embeddings

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bgnn

bilinear graph neural network

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pretrain-gnns

Strategies for Pre-training Graph Neural Networks

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