BUPT-GAMMA / CIAH
Co-clustering Interactions via Attentive Hypergraph Neural Network (SIGIR 2022)
☆24Updated 2 years ago
Alternatives and similar repositories for CIAH:
Users that are interested in CIAH are comparing it to the libraries listed below
- Source code for the paper Residual Enhanced Multi-Hypergraph Neural Network (ICIP 2021).☆18Updated 3 years ago
- IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering☆21Updated last year
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Updated 2 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆56Updated 2 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆23Updated 2 years ago
- [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆16Updated 3 years ago
- The code for Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation (SIGIR 2023)☆9Updated last year
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆31Updated 3 years ago
- SHT, KDD 2022☆48Updated last year
- Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021☆27Updated 4 years ago
- Implementation of AAAI22 paper: MS-HGAT: Memory-enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction☆35Updated last year
- Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network☆28Updated 2 years ago
- The Pytorch implementation of "NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering"☆17Updated 6 months ago
- [WWW'23] "SimRec: Graph-less Collaborative Filtering"☆32Updated last year
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated last year
- UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification.☆11Updated 6 months ago
- Intent Contrastive Learning for Sequential Recommendation (WWW'22)☆16Updated 2 years ago
- Code for the paper "Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification" - ICDM 2019☆12Updated last year
- ☆32Updated 6 months ago
- The pytorch implementation of Cluster-Aware Supervised Contrastive Learning on Graphs (WWW 2022).☆11Updated 2 years ago
- Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…☆18Updated 2 years ago
- A collection of graph contrastive learning methods.☆18Updated 2 years ago
- codes of LEGNN for Semi-supervised Node Classification☆12Updated 2 years ago
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆33Updated 6 months ago
- This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Lea…☆17Updated last year
- Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"☆37Updated 3 years ago
- Hypergraph convolution and attention networks research☆13Updated 6 months ago
- source code of IJCAI 2021 paper "Graph Representation with Curriculum Contrastive Learning"☆26Updated 3 years ago
- ☆13Updated 4 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆12Updated last year