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Denoising Heterogeneous Graph Pre-training Framework for Recommendation

https://doi.org/10.1145/3706632
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-93417-4_38openalex-snapshot
Modeling Relational Data with Graph Convolutional Networks
inferredcites →https://doi.org/10.1007/s00521-022-07251-zopenalex-snapshot
Heterogeneous graph convolutional network pre-training as side information for improving recommendation
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/tii.2019.2893714openalex-snapshot
Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System
inferredcites →https://doi.org/10.1109/tkde.2018.2833443openalex-snapshot
Heterogeneous Information Network Embedding for Recommendation
inferredcites →https://doi.org/10.1109/tkde.2021.3072345openalex-snapshot
Sparse Graph Attention Networks
inferredcites →https://doi.org/10.1109/tkde.2022.3201243openalex-snapshot
Adversarial Attack and Defense on Graph Data: A Survey
inferredcites →https://doi.org/10.1109/tmm.2020.3007330openalex-snapshot
Context-Dependent Propagating-Based Video Recommendation in Multimodal Heterogeneous Information Networks
inferredcites →https://doi.org/10.1109/tmm.2022.3151026openalex-snapshot
Heterogeneous Graph Contrastive Learning Network for Personalized Micro-Video Recommendation
inferredcites →https://doi.org/10.1109/tnnls.2023.3273255openalex-snapshot
HeGCL: Advance Self-Supervised Learning in Heterogeneous Graph-Level Representation
inferredcites →https://doi.org/10.1109/tpami.2023.3274759openalex-snapshot
Influence-Driven Data Poisoning for Robust Recommender Systems
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3097983.3098036openalex-snapshot
metapath2vec
inferredcites →https://doi.org/10.1145/3292500.3330673openalex-snapshot
Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation
inferredcites →https://doi.org/10.1145/3292500.3330961openalex-snapshot
Heterogeneous Graph Neural Network
inferredcites →https://doi.org/10.1145/3308558.3313562openalex-snapshot
Heterogeneous Graph Attention Network
inferredcites →https://doi.org/10.1145/3340531.3411996openalex-snapshot
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
inferredcites →https://doi.org/10.1145/3366423.3380027openalex-snapshot
Heterogeneous Graph Transformer
inferredcites →https://doi.org/10.1145/3394486.3403049openalex-snapshot
Graph Structure Learning for Robust Graph Neural Networks
inferredcites →https://doi.org/10.1145/3404835.3462868openalex-snapshot
Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems
inferredcites →https://doi.org/10.1145/3437963.3441734openalex-snapshot
Learning to Drop: Robust Graph Neural Network via Topological Denoising
inferredcites →https://doi.org/10.1145/3447548.3467396openalex-snapshot
Pre-training on Large-Scale Heterogeneous Graph
inferredcites →https://doi.org/10.1145/3447548.3467415openalex-snapshot
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
inferredcites →https://doi.org/10.1145/3447548.3467427openalex-snapshot
Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation
inferredcites →https://doi.org/10.1145/3459637.3482332openalex-snapshot
Contrastive Pre-Training of GNNs on Heterogeneous Graphs
inferredcites →https://doi.org/10.1145/3459637.3482480openalex-snapshot
Social Recommendation with Self-Supervised Metagraph Informax Network
inferredcites →https://doi.org/10.1145/3477495.3531937openalex-snapshot
Are Graph Augmentations Necessary?
inferredcites →https://doi.org/10.1145/3485447.3512104openalex-snapshot
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
inferredcites →https://doi.org/10.1145/3485447.3512251openalex-snapshot
Causal Representation Learning for Out-of-Distribution Recommendation
inferredcites →https://doi.org/10.1145/3511808.3557664openalex-snapshot
OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network
inferredcites →https://doi.org/10.1145/3528667openalex-snapshot
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-NRecommendation
inferredcites →https://doi.org/10.1145/3539597.3570484openalex-snapshot
Heterogeneous Graph Contrastive Learning for Recommendation
inferredcites →https://doi.org/10.1145/3543507.3583282openalex-snapshot
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks
inferredcites →https://doi.org/10.1145/3543507.3583341openalex-snapshot
Improving Recommendation Fairness via Data Augmentation
inferredcites →https://doi.org/10.1145/3568396openalex-snapshot
Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation
inferredcites →https://doi.org/10.1145/3573385openalex-snapshot
Revisiting Graph-based Recommender Systems from the Perspective of Variational Auto-Encoder
inferredcites →https://doi.org/10.1145/3618107openalex-snapshot
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach
inferredcites →https://doi.org/10.1145/3701230openalex-snapshot
Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1609/aaai.v35i5.16515openalex-snapshot
Graph Heterogeneous Multi-Relational Recommendation
inferredcites →https://doi.org/10.1609/aaai.v36i4.20357openalex-snapshot
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks
inferredcites →https://doi.org/10.1609/aaai.v37i4.25617openalex-snapshot
Fair Representation Learning for Recommendation: A Mutual Information Perspective
inferredcites →https://doi.org/10.17863/cam.48429openalex-snapshot
Graph Attention Networks
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.116openalex-snapshot
Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval
inferredcites →https://doi.org/10.24963/ijcai.2020/677openalex-snapshot
Heterogeneous Network Representation Learning
inferredcites →https://doi.org/10.48550/arxiv.1403.6652openalex-snapshot
DeepWalk: Online Learning of Social Representations
inferredcites →https://doi.org/10.48550/arxiv.2002.02126openalex-snapshot
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
inferredcites →https://doi.org/10.48550/arxiv.2006.15437openalex-snapshot
GPT-GNN: Generative Pre-Training of Graph Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.2010.13902openalex-snapshot
Graph Contrastive Learning with Augmentations
inferredcites →https://doi.org/10.48550/arxiv.2105.09111openalex-snapshot
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
inferredcites →https://doi.org/10.48550/arxiv.2112.08679openalex-snapshot
Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10115-025-02567-3openalex-snapshot
Group formation technique based on deep embedded clustering and similarity for group recommendation system
inferred← citeshttps://doi.org/10.1007/s10115-026-02808-zopenalex-snapshot
LSR-NCL: LLM-guided semantic regularization with training-inference decoupling for robust recommendation
inferred← citeshttps://doi.org/10.1007/s11227-025-07041-zopenalex-snapshot
Foreground-aware transformer network for person re-identification
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113596openalex-snapshot
Masked Heterogeneous Graph Attention Network for robust recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129428openalex-snapshot
Dual-space relation-aware entity representation learning for personalized compatibility modeling
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129431openalex-snapshot
Improved DQN-based recommender system on three-way decision
inferred← citeshttps://doi.org/10.1109/bigcomp68355.2026.00024openalex-snapshot
A Fusion Model to Cognize the Structure of Heterogeneous Graph for Public Safety Scenarios
inferred← citeshttps://doi.org/10.1109/icsp69961.2026.11540865openalex-snapshot
HeMamba: Modeling Interaction Context on Heterogeneous Graphs with Mamba for Recommendation
inferred← citeshttps://doi.org/10.1109/tbdata.2025.3570082openalex-snapshot
Generative-Contrastive Heterogeneous Graph Neural Network
inferred← citeshttps://doi.org/10.1109/tcss.2025.3529706openalex-snapshot
Dual-Domain Collaborative Denoising for Social Recommendation
inferred← citeshttps://doi.org/10.1109/tcss.2025.3588471openalex-snapshot
Heterogeneous Neighborhood-Enhanced Graph Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1109/tcss.2025.3635214openalex-snapshot
Optimizing Feature Interaction via Information Bottleneck for CTR Prediction
inferred← citeshttps://doi.org/10.1109/tkde.2025.3536096openalex-snapshot
Intent-Guided Heterogeneous Graph Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1145/3736540openalex-snapshot
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2
inferred← citeshttps://doi.org/10.1145/3750725openalex-snapshot
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation
inferred← citeshttps://doi.org/10.1145/3779448openalex-snapshot
When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation
inferred← citeshttps://doi.org/10.1145/3821536openalex-snapshot
CEILLM: Confidence-Aware Dynamic Fusion of Collaborative Embedding-Infused Large Language Models for Conversational Recommendation
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