NDS-VU / signed-network-datasetsLinks
☆17Updated 3 years ago
Alternatives and similar repositories for signed-network-datasets
Users that are interested in signed-network-datasets are comparing it to the libraries listed below
Sorting:
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆66Updated 3 years ago
- A Survey of Learning from Graphs with Heterophily☆157Updated 11 months ago
- ☆45Updated 4 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆36Updated 4 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Updated last year
- ☆125Updated 2 years ago
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago
- Learning Signed Network Embedding via Graph Attention, aaai2020☆22Updated 5 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆123Updated 3 years ago
- The source code of HeCo☆171Updated 3 years ago
- TransGNN, SIGIR 2024☆63Updated last year
- Unofficial pytorch implementation of DisenGCN☆14Updated 2 years ago
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020☆30Updated 4 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆287Updated 2 years ago
- Datasets-for-Heterogeneous-Graph☆136Updated 6 years ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆73Updated 3 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆88Updated last year
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 4 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 10 months ago
- [TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"☆21Updated 2 years ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆59Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆181Updated last year
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆40Updated 3 years ago
- ☆67Updated 4 years ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆88Updated 8 months ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆145Updated 3 years ago
- ☆27Updated 3 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆34Updated 3 years ago
- ☆341Updated last year
- source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)☆57Updated 2 years ago