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cytsinghua's Projects

fudan_mtl_reviews

TensorFlow implementation of the paper `Adversarial Multi-task Learning for Text Classification`

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

ghm_loss

tensorflow pytorch loss

gnnpapers

Must-read papers on graph neural networks (GNN)

google_mtl

Google多任务模型MMoE

graph-bert

Source code of Graph-Bert

graph2seq

Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.

graphcl

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

graphembedding

Implementation and experiments of graph embedding algorithms.

graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

graphsage

Representation learning on large graphs using stochastic graph convolutions.

hatn

Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)

hiersumm

Code for paper Hierarchical Transformers for Multi-Document Summarization in ACL2019

hmeae

Source code for EMNLP-IJCNLP 2019 paper "HMEAE: Hierarchical Modular Event Argument Extraction".

homm-master

Official Code of Paper HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation (AAAI2020)

hypergat_textclassification

Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification

iatn

Dataset and code for Inateraction Attention Transfer Network for Cross-domain Sentiment Classification

iir

Machine Learning / Natural Language Processing / Information Retrieval

imn-e2e-absa

Code and dataset for ACL2019 ‘‘An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis’’.

interview_internal_reference

2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

jdda

Code for the paper "Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation" (AAAI-2019)

jdda-master

Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation（AAAI-2019）

keras-attention

Visualizing RNNs using the attention mechanism

keras_bert_classification

Bert-classification and bert-dssm implementation with keras.

kgpolicy

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

kingdom

Domain Adaptation using External Knowledge for Sentiment Analysis

labeled-lda-python

Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python

langchain-chatglm

langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜基于本地知识库的 ChatGLM 问答

lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

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