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li-study's Projects

afet icon afet

AFET: Automatic Fine-Grained Entity Typing (EMNLP'16)

autodebias icon autodebias

This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.

bigi icon bigi

[WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization

bine icon bine

BiNE: Bipartite Network Embedding

bipartitesbm icon bipartitesbm

Heuristic and inference engine for estimating the number of communities in a bipartite network

capsgnn icon capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

carl icon carl

The implementation of “A Context-Aware User-Item Representation Learning for Item Recommendation”, Libing Wu, Cong Quan, Chenliang Li, Qian Wang, Bolong Zheng, Xiangyang Luo, https://dl.acm.org/citation.cfm?id=3298988

cause icon cause

Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch icon cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

comirec icon comirec

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

deep-belief-network icon deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

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