Roytsai27 / awesome-GNN4TDL
Graph Neural Networks for Tabular Data Learning (GNN4TDL)
☆90Updated 11 months ago
Alternatives and similar repositories for awesome-GNN4TDL:
Users that are interested in awesome-GNN4TDL are comparing it to the libraries listed below
- A list of Graph Causal Learning materials.☆191Updated 2 months ago
- A curated list of papers on graph structure learning (GSL).☆44Updated 2 months ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- Accompanied repositories for our paper Graph foundation model☆192Updated 4 months ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆67Updated 5 months ago
- Code for paper https://arxiv.org/abs/2102.13186☆44Updated 3 years ago
- ☆52Updated 3 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆84Updated 4 months ago
- Awesome literature on imbalanced learning on graphs☆75Updated 6 months ago
- Dynamic Graph Benchmark☆74Updated 2 years ago
- A curated list of publications and code about data augmentaion for graphs.☆64Updated 2 years ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆86Updated 4 months ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆41Updated 4 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆111Updated 2 years ago
- ☆55Updated 3 years ago
- ☆24Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆86Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆134Updated 2 years ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆183Updated last month
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆43Updated 11 months ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆35Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆189Updated 2 months ago
- Interaction Network Contextual Embedding☆14Updated 8 months ago
- Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github …☆54Updated 6 months ago
- Schedule for learning on graphs seminar☆109Updated last year
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated last year
- ☆49Updated 3 years ago
- ☆28Updated last year
- ☆170Updated 11 months ago