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Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction
RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift
For calculating global feature importance using Shapley values.
Financial Sentiment Analysis with BERT
The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".
Recurrent Neural Network for predicting Stock Returns
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
an unbias-learning-to-rank dataset of Baidu
This is the implementation of UCBRank paper in SIGIR 2022.
A python implementation of Dueling Bandit Gradient Descent (DBGD)
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
PyTorch implementation of Trust Region Policy Optimization
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Google AI 2018 BERT pytorch implementation
This is the code for ACL paper "Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network"
Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementat…
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Implementation of Graph Convolutional Networks in TensorFlow
Implementation of "Deep Graph Matching Consensus" in PyTorch