ntkien1904 / LHGNN
LHGNN: Link Prediction on Latent Heterogeneous Graphs
☆11Updated last year
Alternatives and similar repositories for LHGNN:
Users that are interested in LHGNN are comparing it to the libraries listed below
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- ☆37Updated 3 years ago
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆35Updated 8 months ago
- Tail-GNN: Tail-Node Graph Neural Networks☆33Updated 3 years ago
- ☆32Updated last year
- ☆28Updated last year
- ☆28Updated 4 months ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated 2 years ago
- KDD'22☆59Updated 2 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- ☆16Updated last month
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆55Updated 2 years ago
- TransGNN, SIGIR 2024☆44Updated 7 months ago
- ☆14Updated last year
- ☆105Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆76Updated 3 months ago
- ☆18Updated last year
- This repository includes the implementation of CAGCN and the experiments on link prediction/node classification☆52Updated last year
- ☆22Updated 5 months ago
- The source code of SpCo☆34Updated last year
- TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"☆17Updated 4 months ago
- Heterogeneous Graph Contrastive Multi-view Learning, SDM 23☆20Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆21Updated 2 years ago
- [TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"☆19Updated last year
- ☆24Updated last year
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆23Updated 11 months ago
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆16Updated 3 years ago
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆47Updated 3 years ago
- [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"☆106Updated 3 months ago