Alternatives and similar repositories for Topology_Distillation_KDD21

Users that are interested in Topology_Distillation_KDD21 are comparing it to the libraries listed below

• salesforce / SRMA
  Contrastive Learning with Model Augmentation
  ☆18Updated 3 years ago
• yaochenzhu / Deep-Deconf
  Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)
  ☆27Updated 2 years ago
• rutgerswiselab / AutoLossGen
  AutoLossGen: Automatic Loss Function Generation for Recommender Systems
  ☆22Updated 3 years ago
• cshjin / GCL
  List of Publications in Graph Contrastive Learning
  ☆34Updated 3 years ago
• CheriseZhu / RSHN
  The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.
  ☆18Updated 5 years ago
• layer6ai-labs / MCL
  Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"
  ☆12Updated 3 years ago
• juyongjiang / awesome-graph-self-supervised-learning-based-recommendation
  A curated list of awesome graph & self-supervised-learning-based recommendation.
  ☆48Updated 4 years ago
• junkangwu / Adap_tau
  [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"
  ☆29Updated 2 years ago
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆75Updated 3 years ago
• Sungwon-Han / DualFair
  ☆14Updated 2 years ago
• THUDM / BatchSampler
  The source code for BatchSampler that accepted in KDD'23
  ☆19Updated 2 years ago
• Linxyhaha / COR
  Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)
  ☆19Updated 2 years ago
• SeongKu-Kang / HetComp_WWW23
  Distillation from Heterogeneous Models for Top-K Recommendation (WWW'23)
  ☆19Updated last year
• SeongKu-Kang / DE-RRD_CIKM20
  DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)
  ☆30Updated 2 years ago
• xiaxin1998 / OD-Rec
  Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'
  ☆14Updated 2 years ago
• mlvlab / SELAR
  Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.
  ☆55Updated 4 years ago
• THUDM / SCR
  SCR: Training Graph Neural Networks with Consistency Regularization
  ☆36Updated 3 years ago
• chrisjtan / counter
  Counterfactual Explainable Recommendation
  ☆50Updated 4 years ago
• yang-han / P-reg
  Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
  ☆34Updated 4 years ago
• hasteck / EDLAE_NeurIPS2020
  ☆12Updated 5 years ago
• danni9594 / ASMG
  ☆13Updated 4 years ago
• WonbinKweon / CalibratedRankingModels_AAAI2022
  ☆12Updated 3 years ago
• forchchch / CDR
  This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"
  ☆22Updated 3 years ago
• Louise-LuLin / topic-gcn
  CGAT: Channel-aware Graph Attention Networks
  ☆20Updated 2 years ago
• pd90506 / AMCF
  Explainable recommendation via interpretable feature mapping
  ☆19Updated 5 years ago
• donalee / BUIR
  Bootstrapping User and Item Representations for One-Class Collaborative Filtering
  ☆28Updated 4 years ago
• anzhang314 / BC-Loss
  Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)
  ☆21Updated 2 years ago
• JiahaoXun / IMRec
  The dataset for paper "Why Do We Click: Visual Impression-aware News Recommendation", ACM MM 2021
  ☆15Updated 3 years ago
• WenjieWWJ / DecRS
  Deconfounded Recommendation for Alleviating Bias Amplification
  ☆46Updated 4 years ago
• GentleZhu / EGI
  Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')
  ☆23Updated 4 years ago