Junshuai-Song

Entity-Linking

Entity Linking，识别给定文本中出现的命名实体（Named Entity），并映射到特定的知识库中唯一的实体。包括命名实体识别、消歧等工作。

UniWalk

We design a Monte Carlo based method, UniWalk, to enable the fast top-k SimRank computation over large undirected graphs. UniWalk directly locates the top-k similar vertices for any single source vertex u via approximately R sampling paths originating from u only. Related work has been published in ICDE 2017 ("UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph"). Furthermore, in order to overcome the "rectification issue" in the original UniWalk, we design a path enumeration strategy to gain higher precision, which computes SimRank with the path probabilities instead of path frequencies in sampling. We call it the optimized UniWalk here, which is shown in the "UniWalk/src/simrank/SingleRandomDev.java" file(the basic UniWalk is shown in "UniWalk/src/simrank/SingleRandomWalk.java").

Data-poisoning-attacks-on-factorization-based-collaborative-filtering

Data poisoning attack of recommend system using the algorithm of MF.

MatchingNetworks

An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf

PLNLP

Pairwise learning neural link prediction for ogb link prediction

A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION

Pytorch implementation for paper of "A DEEP REINFORCED MODEL FOR ABSTRACTIVE SUMMARIZATION". https://arxiv.org/abs/1705.04304

AAAI18-code

The code of AAAI18 paper "Learning Structured Representation for Text Classification via Reinforcement Learning".

Actor_CriticPointer_Network-TSP

Tensorflow implementation of an Actor Critic algorithm using a Pointer Network to solve the TSP (algorithm from Neural Combinatorial Optimization with Reinforcement Learning, Bello et al, 2016)

adversarial-mt

Code for "Imitation Attacks and Defenses for Black-box Machine Translations Systems"

AdvSSL

A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

DeFrauder

Distributed_PPO

This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

DQN_MVC

Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)

exposure_bias

some strategies for exposure bias in seq2seq

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

graph-fraud-detection-papers

A curated list of fraud detection papers using graph information or graph neural networks

graphnn

Training computational graph on top of structured data (string, graph, etc)

imitation

Code for the paper "Generative Adversarial Imitation Learning"

MCNS

Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"

Pointer-Networks-1

RelationClassification-RL

Reinforcement Learning for Relation Classification from Noisy Data(AAAI2018)

tensorflow-pointer-networks-1

Pointer Networks in Tensorflow

TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

TransNets

universal-triggers

Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)

x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers