Alternatives and similar repositories for SCCF

Users that are interested in SCCF are comparing it to the libraries listed below

• HKUDS / SimRec
  [WWW'23] "SimRec: Graph-less Collaborative Filtering"
  ☆31Updated 2 years ago
• DavidZWZ / LightGODE
  [CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
  ☆14Updated last year
• HKUDS / GFormer
  [SIGIR'2023] "GFormer: Graph Transformer for Recommendation"
  ☆72Updated last year
• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆49Updated last year
• akaxlh / SHT
  SHT, KDD 2022
  ☆52Updated 2 years ago
• wenqifan03 / GTN-SIGIR2022
  Graph Trend Filtering Networks for Recommendations, SIGIR'2022
  ☆26Updated 3 years ago
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆63Updated 2 years ago
• HKUDS / GraphPro
  [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
  ☆71Updated last year
• tanatosuu / svd_gcn
  CIKM 2022: SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation
  ☆21Updated 3 years ago
• wenzhilics / HomoGCL
  "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23
  ☆14Updated 2 years ago
• QwQ2000 / TheWebConf24-LTGNN-PyTorch
  TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"
  ☆21Updated 5 months ago
• HKUDS / LightGCL
  [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
  ☆195Updated 2 years ago
• zwt233 / GAMLP
  ☆19Updated 3 years ago
• geon0325 / LightGCNpp
  Source code for the RecSys 2024 paper "Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recomm…
  ☆25Updated 3 months ago
• akaxlh / HCCF
  HCCF, SIGIR 2022
  ☆100Updated 2 years ago
• yuwvandy / CAGCN
  This repository includes the implementation of CAGCN and the experiments on link prediction/node classification
  ☆54Updated 2 years ago
• Applied-Machine-Learning-Lab / LinRec
  ☆22Updated 8 months ago
• weiwei1206 / CML
  The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
  ☆46Updated last year
• HKUDS / SelfGNN
  [SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
  ☆67Updated last year
• StupidThree / SIGformer
  ☆20Updated last year
• tsinghua-fib-lab / AMCNet
  The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)
  ☆11Updated 2 years ago
• LehengTHU / AdvInfoNCE
  [NeurIPS 2023] The implementation of paper "Empowering Collaborative Filtering Generalization via Principled Adversarial Contrastive Loss…
  ☆20Updated last year
• layer6ai-labs / HGCF
  Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"
  ☆53Updated 4 years ago
• FudanCISL / FreeGEM
  The implementation for the NeurIPS 2022 paper Parameter-free Dynamic Graph Embedding for Link Prediction.
  ☆16Updated 3 years ago
• jeongwhanchoi / SCONE
  "SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation", WSDM 2025
  ☆14Updated last month
• BlueGhostYi / BIGCF
  [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
  ☆14Updated last year
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆66Updated last year
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆61Updated last year
• HKUDS / HGCL
  [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
  ☆124Updated last year
• AndyJZhao / Gophormer
  ☆22Updated 3 years ago