Big Data and Multi-modal Computing Group, CRIPAC

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

CRIPAC-DIG

[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

CRIPAC-DIG

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

CRIPAC-DIG

[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"

CRIPAC-DIG

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

CRIPAC-DIG

[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"

CRIPAC-DIG

[TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation"

CRIPAC-DIG

[WWW 2019] Code and dataset for "Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks"

CRIPAC-DIG

[TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"

CRIPAC-DIG

[ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."

CRIPAC-DIG