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Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems

https://doi.org/10.1145/3701230
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What this work says

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

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00252openalex-snapshot
Understanding the Behaviour of Contrastive Loss
inferredcites →https://doi.org/10.1109/tkde.2023.3250463openalex-snapshot
Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1109/tkde.2023.3282907openalex-snapshot
Self-Supervised Learning for Recommender Systems: A Survey
inferredcites →https://doi.org/10.1109/tkde.2024.3386895openalex-snapshot
Dual Variational Graph Reconstruction Learning for Social Recommendation
inferredcites →https://doi.org/10.1109/tpami.2022.3170559openalex-snapshot
Self-Supervised Learning of Graph Neural Networks: A Unified Review
inferredcites →https://doi.org/10.1109/tsmc.2024.3350658openalex-snapshot
NIE-GCN: Neighbor Item Embedding-Aware Graph Convolutional Network for Recommendation
inferredcites →https://doi.org/10.1145/2487575.2487589openalex-snapshot
FISM
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3038912.3052639openalex-snapshot
Collaborative Metric Learning
inferredcites →https://doi.org/10.1145/3178876.3186150openalex-snapshot
Variational Autoencoders for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3314578openalex-snapshot
Deep Item-based Collaborative Filtering for Top-N Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3340531.3412012openalex-snapshot
Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks
inferredcites →https://doi.org/10.1145/3343117openalex-snapshot
Joint Neural Collaborative Filtering for Recommender Systems
inferredcites →https://doi.org/10.1145/3373807openalex-snapshot
Efficient Neural Matrix Factorization without Sampling for Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot
LightGCN
inferredcites →https://doi.org/10.1145/3397271.3401123openalex-snapshot
Neighbor Interaction Aware Graph Convolution Networks for Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401137openalex-snapshot
Disentangled Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3437963.3441800openalex-snapshot
Denoising Implicit Feedback for Recommendation
inferredcites →https://doi.org/10.1145/3442381.3449986openalex-snapshot
Interest-aware Message-Passing GCN for Recommendation
inferredcites →https://doi.org/10.1145/3442381.3450133openalex-snapshot
Learning Intents behind Interactions with Knowledge Graph for Recommendation
inferredcites →https://doi.org/10.1145/3447548.3467408openalex-snapshot
MixGCF
inferredcites →https://doi.org/10.1145/3477495.3531982openalex-snapshot
Geometric Disentangled Collaborative Filtering
inferredcites →https://doi.org/10.1145/3477495.3531985openalex-snapshot
Graph Trend Filtering Networks for Recommendation
inferredcites →https://doi.org/10.1145/3477495.3532058openalex-snapshot
Hypergraph Contrastive Collaborative Filtering
inferredcites →https://doi.org/10.1145/3485447.3512104openalex-snapshot
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
inferredcites →https://doi.org/10.1145/3534678.3539253openalex-snapshot
Towards Representation Alignment and Uniformity in Collaborative Filtering
inferredcites →https://doi.org/10.1145/3539618openalex-snapshot
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3539618.3591647openalex-snapshot
Candidate-aware Graph Contrastive Learning for Recommendation
inferredcites →https://doi.org/10.1145/3539618.3591663openalex-snapshot
Diffusion Recommender Model
inferredcites →https://doi.org/10.1145/3539618.3591665openalex-snapshot
Disentangled Contrastive Collaborative Filtering
inferredcites →https://doi.org/10.1145/3539618.3591689openalex-snapshot
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3539618.3591691openalex-snapshot
Generative-Contrastive Graph Learning for Recommendation
inferredcites →https://doi.org/10.1145/3539618.3591727openalex-snapshot
Meta-optimized Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3543507.3583196openalex-snapshot
Graph-less Collaborative Filtering
inferredcites →https://doi.org/10.1145/3573385openalex-snapshot
Revisiting Graph-based Recommender Systems from the Perspective of Variational Auto-Encoder
inferredcites →https://doi.org/10.1145/3580305.3599768openalex-snapshot
Adaptive Graph Contrastive Learning for Recommendation
inferredcites →https://doi.org/10.1145/3583780openalex-snapshot
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
inferredcites →https://doi.org/10.1145/3583780.3615185openalex-snapshot
Graph-based Alignment and Uniformity for Recommendation
inferredcites →https://doi.org/10.1609/aaai.v34i01.5330openalex-snapshot
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
inferredcites →https://doi.org/10.24963/ijcai.2023openalex-snapshot
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence
inferredcites →https://doi.org/10.48550/arxiv.2010.13902openalex-snapshot
Graph Contrastive Learning with Augmentations

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s13042-026-03125-1openalex-snapshot
Learning disentangled multi-intent representations for scalable recommendation
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.112495openalex-snapshot
ESIGCF: Extremely simplified but intent-enhanced graph collaborative filtering for recommendation
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.113198openalex-snapshot
Hyperbolic Adversarial Variational Embedding for item recommendation
inferred← citeshttps://doi.org/10.1016/j.ins.2026.123778openalex-snapshot
Multi-LLM semantic fusion with uncertainty-aware GCNs for personalized recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104314openalex-snapshot
Iterative update scheme for nonnegative and sparse linear autoencoders in recommendation
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129962openalex-snapshot
L2M-GCN: A new framework for learning robust GCN against structural attacks
inferred← citeshttps://doi.org/10.1109/tcss.2026.3716309openalex-snapshot
Semantic Augmented Multiview Graph Learning With Frequency-Aware Propagation for Recommendation
inferred← citeshttps://doi.org/10.1145/3706632openalex-snapshot
Denoising Heterogeneous Graph Pre-training Framework for Recommendation
inferred← citeshttps://doi.org/10.1145/3726302.3730011openalex-snapshot
Intent Representation Learning with Large Language Model for Recommendation
inferred← citeshttps://doi.org/10.1145/3787468openalex-snapshot
FedHoG: Federated Homogeneous Graph Neural Network for Privacy-Preserving Recommendation
inferred← citeshttps://doi.org/10.1145/3805622.3810751openalex-snapshot
PAMS-GNN: Popularity-Aware Multimodal Semantic GraphNeural Networks for Recommendation
inferred← citeshttps://doi.org/10.1145/3805712.3809526openalex-snapshot
ACE: Semantically-Grounded Graph Alignment via Affective Contrastive Learning
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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