[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
Python 666 245
[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"
Python 149 54
[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
Python 102 23
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
Python 153 29
[WWW 2019] Code and dataset for "Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks"
Python 70 19
[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"
73 27
[WWW 2022] The source code of "Evidence-aware Fake News Detection with Graph Neural Networks"
[SIGIR 2022] Source code and datasets for "Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention".
Source code for CIKM 2021 paper for Relation-aware Heterogeneous Graph for User Profiling
[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
[ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
This repo includes some graph-based CTR prediction models and other representative baselines.
[CIKM 2021] Implementations for Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction
