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li-study's Projects

sacn icon sacn

End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

samn icon samn

This is our implementation of SAMN: Social Attentional Memory Network

scml icon scml

This is our Tensorflow implementation for Social Collaborative Mutual Learning (SCML) (TKDD, 2020).

score icon score

SCoRe is a sequential recommendation model with dual side neighbor-based collaborative filtering. Implementation of our WSDM 2020 paper.

seal-ci icon seal-ci

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

selfgnn icon selfgnn

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

simp-gcn icon simp-gcn

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

slaps-gnn icon slaps-gnn

PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"

sr-gnn icon sr-gnn

Source code and datasets for the paper "Session-based Recommendation with Graph Neural Networks" (AAAI-19)

st-gcn icon st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

sugar icon sugar

Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism""

thinkstats2 icon thinkstats2

Text and supporting code for Think Stats, 2nd Edition

transformer icon transformer

A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"

transformers icon transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

vae_cf icon vae_cf

Variational autoencoders for collaborative filtering

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