sunxiaobei / awesome-attention-based-gnns
A collection of resources on attention-based graph neural networks
☆62Updated last year
Alternatives and similar repositories for awesome-attention-based-gnns:
Users that are interested in awesome-attention-based-gnns are comparing it to the libraries listed below
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆114Updated last year
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆61Updated 3 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆77Updated last month
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆61Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆53Updated last year
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆42Updated last month
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆119Updated 10 months ago
- A curated list of papers on graph structure learning (GSL).☆41Updated 2 weeks ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆133Updated 2 years ago
- ☆103Updated last year
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆82Updated 2 months ago
- ☆100Updated last year
- A Survey of Learning from Graphs with Heterophily☆113Updated 2 weeks ago
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆146Updated last year
- Dynamic Graph Benchmark☆71Updated last year
- Collection of papers relating data-driven higher-order graph/networks researches.☆67Updated 2 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆87Updated 3 years ago
- ☆50Updated 3 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆79Updated 2 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆66Updated 2 years ago
- The implementation for DropMessage.☆36Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆103Updated last year
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆33Updated last year
- ☆77Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 7 months ago
- The implementation for DropMessage.☆23Updated last year
- Schedule for learning on graphs seminar☆111Updated last year