qitianwu / DEEMS-KDD-19

Related projects: ⓘ

• wenqifan03 / GTN-SIGIR2022
  Graph Trend Filtering Networks for Recommendations, SIGIR'2022
  ☆26Updated 2 years ago
• vwz / topolstm
  Topological Recurrent Neural Network for Diffusion Prediction
  ☆18Updated 6 years ago
• rootlu / MMDNE
  Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
  ☆37Updated 2 years ago
• layer6ai-labs / HGCF
  Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"
  ☆49Updated 3 years ago
• wangjlgz / HyperRec
  Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)
  ☆58Updated 3 years ago
• smufang / meta-tail2vec
  Implementation of meta-tail2vec published in CIKM 2020 paper "Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks".
  ☆13Updated 3 years ago
• albertyang33 / FOREST
  source code for IJCAI 2019 paper "Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks"
  ☆41Updated 3 years ago
• Zziwei / Item-Underrecommendation-Bias
  Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems
  ☆15Updated 4 years ago
• ydzhang-stormstout / HHNE
  Source code for AAAI 2019 paper "Hyperbolic Heterogeneous Information Network Embedding"
  ☆23Updated 2 years ago
• HKUST-KnowComp / MoHINRec
  ☆14Updated 5 years ago
• Wenhui-Yu / TDAR
  code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation
  ☆22Updated 4 years ago
• zhitao-wang / Sequential-Neural-Information-Diffusion-Model-with-Structure-Attention
  Code for A Sequential Neural Information Diffusion Model with Structure Attention (CIKM 2018)
  ☆17Updated 5 years ago
• Shubhranshu-Shekhar / ctdne
  Reproducing the results of the paper Continuous-time Dynamic Network Embeddings
  ☆30Updated 5 years ago
• joeybose / Flexible-Fairness-Constraints
  Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"
  ☆48Updated 4 years ago
• XU-YaoKun / PERec
  personalized recommendation
  ☆12Updated 4 years ago
• aravindsankar28 / Inf-VAE
  Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
  ☆27Updated 3 years ago
• IIEdm / TaNP
  [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
  ☆32Updated 3 years ago
• hongluzhou / HID
  Repository for " Integrating User Representation Learning and Multiscale Modeling: A Hierarchical Framework for Information Diffusion".
  ☆17Updated 4 years ago
• yule-BUAA / DNNTSP
  codes of DNNTSP model for Temporal Sets Prediction
  ☆32Updated 3 years ago
• Wenhui-Yu / LCFN
  Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…
  ☆76Updated last year
• lxiaorui / AirGNN
  ☆19Updated last year
• ustcbeuli / PAML
  source code for “Preference-Adaptive Meta-Learning for Cold-Start Recommendation” (IJCAI 2021)
  ☆16Updated 2 years ago
• raihan2108 / deep-diffuse
  ☆9Updated 5 years ago
• liyongqi67 / ALPINE
  ☆20Updated 3 years ago
• CrowdDynamicsLab / GroupIM
  Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)
  ☆45Updated last year
• THUwangcy / SLRC
  WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems
  ☆35Updated 4 years ago
• dingjingtao / SRNS
  Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"
  ☆34Updated last year
• chunyuanY / DyHGCN
  ☆18Updated 3 years ago
• guyulongcs / AAAI2021_ANPP
  Attentive Neural Point Processes for Event Forecasting, AAAI 2021
  ☆16Updated 3 years ago
• LARS-research / DiffMG
  [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
  ☆28Updated 3 years ago