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TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation

https://doi.org/10.1145/3687470
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What this work says

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

inferredcites →https://doi.org/10.1016/j.eswa.2023.119875openalex-snapshot
Session-based recommendation with hypergraph convolutional networks and sequential information embeddings
inferredcites →https://doi.org/10.1016/j.knosys.2023.110528openalex-snapshot
Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation
inferredcites →https://doi.org/10.1109/icde53745.2022.00099openalex-snapshot
Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1109/icdm50108.2020.00041openalex-snapshot
Dynamic Graph Collaborative Filtering
inferredcites →https://doi.org/10.1109/icdm58522.2023.00185openalex-snapshot
SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems
inferredcites →https://doi.org/10.1109/mis.2022.3211074openalex-snapshot
HetGRec: Heterogeneous Graph Attention Network for Group Recommendation
inferredcites →https://doi.org/10.1109/tcds.2023.3305285openalex-snapshot
Continuous-Time Dynamic Interaction Network Learning Based on Evolutionary Expectation
inferredcites →https://doi.org/10.1109/tkde.2022.3151618openalex-snapshot
Dynamic Graph Neural Networks for Sequential Recommendation
inferredcites →https://doi.org/10.1109/tkde.2022.3225109openalex-snapshot
Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning
inferredcites →https://doi.org/10.1109/tsmc.2014.2327053openalex-snapshot
Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs
inferredcites →https://doi.org/10.1145/3159652.3159727openalex-snapshot
Latent Cross
inferredcites →https://doi.org/10.1145/3184558.3191526openalex-snapshot
Continuous-Time Dynamic Network Embeddings
inferredcites →https://doi.org/10.1145/3209978.3210016openalex-snapshot
Streaming Ranking Based Recommender Systems
inferredcites →https://doi.org/10.1145/3292500.3330895openalex-snapshot
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3336191.3371801openalex-snapshot
Pseudo Dyna-Q
inferredcites →https://doi.org/10.1145/3340531.3411963openalex-snapshot
Streaming Graph Neural Networks via Continual Learning
inferredcites →https://doi.org/10.1145/3394486.3403207openalex-snapshot
Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot
LightGCN
inferredcites →https://doi.org/10.1145/3397271.3401167openalex-snapshot
How to Retrain Recommender System?
inferredcites →https://doi.org/10.1145/3397271.3401217openalex-snapshot
Session-based Recommendation with Hierarchical Leaping Networks
inferredcites →https://doi.org/10.1145/3404835.3462862openalex-snapshot
Self-supervised Graph Learning for Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462968openalex-snapshot
Sequential Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1145/3442381.3449810openalex-snapshot
Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching
inferredcites →https://doi.org/10.1145/3442381.3449921openalex-snapshot
Highly Liquid Temporal Interaction Graph Embeddings
inferredcites →https://doi.org/10.1145/3447548.3467422openalex-snapshot
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space
inferredcites →https://doi.org/10.1145/3459637.3481962openalex-snapshot
You Are What and Where You Are
inferredcites →https://doi.org/10.1145/3459637.3482242openalex-snapshot
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
inferredcites →https://doi.org/10.1145/3459637.3482354openalex-snapshot
Incremental Graph Convolutional Network for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3464302openalex-snapshot
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation
inferredcites →https://doi.org/10.1145/3474085.3475665openalex-snapshot
Contrastive Learning for Cold-Start Recommendation
inferredcites →https://doi.org/10.1145/3477495.3531754openalex-snapshot
iRec: An Interactive Recommendation Framework
inferredcites →https://doi.org/10.1145/3477495.3531902openalex-snapshot
Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder
inferredcites →https://doi.org/10.1145/3477495.3531922openalex-snapshot
ReLoop
inferredcites →https://doi.org/10.1145/3477495.3531985openalex-snapshot
Graph Trend Filtering Networks for Recommendation
inferredcites →https://doi.org/10.1145/3477495.3532009openalex-snapshot
Knowledge Graph Contrastive Learning for Recommendation
inferredcites →https://doi.org/10.1145/3477495.3532058openalex-snapshot
Hypergraph Contrastive Collaborative Filtering
inferredcites →https://doi.org/10.1145/3485447.3512041openalex-snapshot
STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation
inferredcites →https://doi.org/10.1145/3485447.3512108openalex-snapshot
FIRE: Fast Incremental Recommendation with Graph Signal Processing
inferredcites →https://doi.org/10.1145/3485447.3512164openalex-snapshot
TREND: TempoRal Event and Node Dynamics for Graph Representation Learning
inferredcites →https://doi.org/10.1145/3486711openalex-snapshot
Graph Co-Attentive Session-based Recommendation
inferredcites →https://doi.org/10.1145/3511808.3557317openalex-snapshot
Explanation Guided Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3534678.3539274openalex-snapshot
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting
inferredcites →https://doi.org/10.1145/3534678.3539336openalex-snapshot
Streaming Graph Neural Networks with Generative Replay
inferredcites →https://doi.org/10.1145/3539618.3591674openalex-snapshot
Dynamic Graph Evolution Learning for Recommendation
inferredcites →https://doi.org/10.1145/3543507.3583229openalex-snapshot
Collaboration-Aware Graph Convolutional Network for Recommender Systems
inferredcites →https://doi.org/10.1145/3543507.3583237openalex-snapshot
Dynamically Expandable Graph Convolution for Streaming Recommendation
inferredcites →https://doi.org/10.1145/3543507.3583339openalex-snapshot
AutoDenoise: Automatic Data Instance Denoising for Recommendations
inferredcites →https://doi.org/10.1145/3543507.3583396openalex-snapshot
An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction
inferredcites →https://doi.org/10.1145/3543507.3583433openalex-snapshot
TIGER: Temporal Interaction Graph Embedding with Restarts
inferredcites →https://doi.org/10.1145/3543507.3583440openalex-snapshot
AutoMLP: Automated MLP for Sequential Recommendations
inferredcites →https://doi.org/10.1145/3543507.3583455openalex-snapshot
HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction
inferredcites →https://doi.org/10.1145/3543507.3583466openalex-snapshot
Personalized Graph Signal Processing for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3543507.3583476openalex-snapshot
Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs
inferredcites →https://doi.org/10.1145/3560487openalex-snapshot
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network
inferredcites →https://doi.org/10.1145/3568022openalex-snapshot
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
inferredcites →https://doi.org/10.1145/3580305.3599450openalex-snapshot
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3580305.3599463openalex-snapshot
Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction
inferredcites →https://doi.org/10.1145/3580305.3599551openalex-snapshot
WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window
inferredcites →https://doi.org/10.1145/3583780.3614773openalex-snapshot
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3583780.3614917openalex-snapshot
How Expressive are Graph Neural Networks in Recommendation?
inferredcites →https://doi.org/10.1145/3589334.3645622openalex-snapshot
On the Feasibility of Simple Transformer for Dynamic Graph Modeling
inferredcites →https://doi.org/10.1145/3593314openalex-snapshot
PIDKG: Propagating Interaction Influence on the Dynamic Knowledge Graph for Recommendation
inferredcites →https://doi.org/10.1145/3604804openalex-snapshot
Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System
inferredcites →https://doi.org/10.1145/3604915.3608806openalex-snapshot
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation
inferredcites →https://doi.org/10.1145/3616855.3635773openalex-snapshot
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3616855.3635837openalex-snapshot
Neural Kalman Filtering for Robust Temporal Recommendation
inferredcites →https://doi.org/10.1145/3620665.3640414openalex-snapshot
TGLite: A Lightweight Programming Framework for Continuous-Time Temporal Graph Neural Networks
inferredcites →https://doi.org/10.1145/3653015openalex-snapshot
DHyper: A Recurrent Dual Hypergraph Neural Network for Event Prediction in Temporal Knowledge Graphs
inferredcites →https://doi.org/10.1609/aaai.v33i01.33013312openalex-snapshot
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301346openalex-snapshot
Session-Based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v34i04.5931openalex-snapshot
Diversified Interactive Recommendation with Implicit Feedback
inferredcites →https://doi.org/10.1609/aaai.v35i5.16576openalex-snapshot
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
inferredcites →https://doi.org/10.1609/aaai.v35i5.16579openalex-snapshot
A General Offline Reinforcement Learning Framework for Interactive Recommendation
inferredcites →https://doi.org/10.17863/cam.48429openalex-snapshot
Graph Attention Networks
inferredcites →https://doi.org/10.24963/ijcai.2017/504openalex-snapshot
What to Do Next: Modeling User Behaviors by Time-LSTM
inferredcites →https://doi.org/10.24963/ijcai.2023/270openalex-snapshot
Sequential Recommendation with Probabilistic Logical Reasoning
inferredcites →https://doi.org/10.48550/arxiv.1711.05101openalex-snapshot
Decoupled Weight Decay Regularization
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.2204.11165openalex-snapshot
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-96-8183-9_10openalex-snapshot
Expert-Guided Toxicity Filtration for Debiased Generation
inferred← citeshttps://doi.org/10.1007/s10489-026-07304-zopenalex-snapshot
Multi-granularity intent learning fused with temporal augmentation for sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.116430openalex-snapshot
Mamba-enhanced asymmetric contrastive graph-sequence learning for session-based recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128080openalex-snapshot
DyBooster: Leveraging large language model as booster for dynamic recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132410openalex-snapshot
Dual-gated multi-behavior recommendation with variational graph autoencoder
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133106openalex-snapshot
FedLHSSG: A federated framework for POI recommendation using local hypergraph with shared spatial graph
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122484openalex-snapshot
Causal cascading convolution networks for multi-behavior sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.117160openalex-snapshot
HGLD-STRec: A Hyperbolic Global–Local Dynamic Evolution Framework for Spatio-Temporal Recommendation
inferred← citeshttps://doi.org/10.1109/tcss.2025.3573074openalex-snapshot
Balancing Information Perception With Yin-Yang: Agent-Based Adaptive Information Neutrality Model for Recommendation Systems
inferred← citeshttps://doi.org/10.1109/tkde.2025.3544510openalex-snapshot
Model-Agnostic Dual-Side Online Fairness Learning for Dynamic Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2026.3689197openalex-snapshot
Controllable Exploration-Exploitation in User-Item Interactions Toward Long-Term Recommendation Gains: A Pane-Aware Graph Transformer Architecture
inferred← citeshttps://doi.org/10.1145/3773966.3778006openalex-snapshot
RPE4Rec: Enhancing Dynamic Node Retrieval with Efficient Relative Position Encoding for Recommendation Systems
inferred← citeshttps://doi.org/10.1145/3774904.3792241openalex-snapshot
Room Matters: Dynamic Room-level Collaboration Information Modeling for Live Streaming Recommendation
inferred← citeshttps://doi.org/10.1145/3840748openalex-snapshot
A Survey of Causal Learning in Graph-Based Recommender Systems
inferred← citeshttps://doi.org/10.56038/ejrnd.v5i1.718openalex-snapshot
A Temporal-Weighted Hybrid Recommender for B2B Vehicle Auctions Using Word2Vec Embeddings
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