cripac-dig Goto Github PK
Name: Big Data and Multi-modal Computing Group, CRIPAC
Type: Organization
Bio: Big Data and Multi-modal Computing Group, Center for Research on Intelligent Perception and Computing
Location: Beijing, China
Name: Big Data and Multi-modal Computing Group, CRIPAC
Type: Organization
Bio: Big Data and Multi-modal Computing Group, Center for Research on Intelligent Perception and Computing
Location: Beijing, China
[TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation"
Code for AAAI'24 paper "Rethinking Graph Masked Autoencoders through Alignment and Uniformity”.
[SIGIR 2022] Source code and datasets for "Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention".
[CIKM 2021] Implementations for Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction
[ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."
[TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"
[PAKDD 2019] Code for "Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction"
[SIGIR 2016] Code for "A Dynamic Recurrent Model for Next Basket Recommendation"
Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"
[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
[WWW 2022] The source code of "Evidence-aware Fake News Detection with Graph Neural Networks"
The source code of "Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks
[WWW 2021] Source code and datasets for the paper "Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval".
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
[PR 2021] Code for "GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction"
This repo includes some graph-based CTR prediction models and other representative baselines.
[AAAI 2021] PyTorch implementation for "A Graph-based Relevance Matching Model for Ad-hoc Retrieval"
[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
[Neurocomputing 2019] Code for "A Hierarchical Contextual Attention-based Network for Sequential Recommendation"
[CIKM 2021] Code and dataset for "Label-informed Graph Structure Learning for Node Classification"
[WWW 2023] The source code of "Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning"
[ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
[CIKM 2021] The source code of "Fully Hyperbolic Graph Convolution Network for Recommendation"
[ACL 2024] Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. Detect and mitigate object hallucinations in LVLMs by itself through logical closed loops.
[TKDE 2018] Code for "MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation"
[WWW 2019] Code and dataset for "Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks"
[ACL 2024] PyTorch implementation for "Stealthy Attack on Large Language Model based Recommendation"
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