cripac-dig Goto Github PK

a-pgnn

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

aug-mae

Code for AAAI'24 paper "Rethinking Graph Masked Autoencoders through Alignment and Uniformity”.

cf-fend

[SIGIR 2022] Source code and datasets for "Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention".

destine

[CIKM 2021] Implementations for Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction

dgcf

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

dgsr

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

distance2pre

[PAKDD 2019] Code for "Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction"

dream

[SIGIR 2016] Code for "A Dynamic Recurrent Model for Next Basket Recommendation"

dygcn

Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"

fi_gnn

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

gca

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

get

[WWW 2022] The source code of "Evidence-aware Fake News Detection with Graph Neural Networks"

getral

The source code of "Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks

ghrm

[WWW 2021] Source code and datasets for the paper "Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval".

grace

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

graphair

[PR 2021] Code for "GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction"

graphctr

This repo includes some graph-based CTR prediction models and other representative baselines.

grmm

[AAAI 2021] PyTorch implementation for "A Graph-based Relevance Matching Model for Ad-hoc Retrieval"

h-gcn

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

hca

[Neurocomputing 2019] Code for "A Hierarchical Contextual Attention-based Network for Sequential Recommendation"

heterfc

hetgsl

[CIKM 2021] Code and dataset for "Label-informed Graph Structure Learning for Node Classification"

hgls

[WWW 2023] The source code of "Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning"

lattice

[ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"

lgcf

[CIKM 2021] The source code of "Fully Hyperbolic Graph Convolution Network for Recommendation"

micro

mv-rnn

[TKDE 2018] Code for "MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation"

ngnn

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

rhgn

Source code for CIKM 2021 paper for Relation-aware Heterogeneous Graph for User Profiling

scgan

[ICME 2019] Source code and datasets for "Semi-supervised Compatibility Learning Across Categories for Clothing Matching"