liuyuaa / KHG-Papers
Paper list for knowledge hypergraph
☆30Updated 3 years ago
Related projects: ⓘ
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆65Updated 2 years ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆50Updated last year
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆91Updated last year
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆45Updated 2 years ago
- source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".☆22Updated 2 years ago
- Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021☆25Updated 3 years ago
- The pytorch implementation of ClusterSCL (WWW2022).☆15Updated last year
- ☆18Updated 4 years ago
- This repo is for source code of KDD 2021 paper "Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning".☆27Updated 2 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆57Updated 3 years ago
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆43Updated last year
- ☆18Updated last year
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆30Updated 2 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆30Updated last year
- ☆17Updated 2 years ago
- A collection of research papers related to graph structure learning(GSL).☆15Updated last year
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 2 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆46Updated last year
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆39Updated 3 years ago
- Evaluation of Methods for Temporal Knowledge Graph Forecasting☆28Updated 7 months ago
- Ratioanle-aware Graph Contrastive Learning codebase☆36Updated last year
- ☆11Updated 3 years ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆79Updated last year
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆27Updated 2 years ago
- ☆39Updated last month
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆34Updated last month
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 3 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆74Updated 2 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆53Updated last year
- Source code of "IJCAI20 - Network Schema Preserving Heterogeneous Information Network Embedding"☆25Updated 3 years ago