benedekrozemberczki / datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
☆625Updated last year
Alternatives and similar repositories for datasets:
Users that are interested in datasets are comparing it to the libraries listed below
- Python library assists deep learning on graphs☆554Updated last year
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆381Updated 7 months ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆290Updated 3 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated 9 months ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆467Updated last year
- A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually upd…☆277Updated 6 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆481Updated 2 years ago
- TGN: Temporal Graph Networks☆1,028Updated 9 months ago
- gnn explainer☆938Updated 6 months ago
- Materials for DGL hands-on tutorial in WWW 2020☆502Updated 3 years ago
- TensorFlow 2 library implementing Graph Neural Networks☆371Updated last year
- ☆349Updated 9 months ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 3 months ago
- ☆349Updated 4 years ago
- A PyTorch Graph Neural Network Library☆375Updated 3 years ago
- Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)☆530Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,989Updated 3 months ago
- Papers about explainability of GNNs☆710Updated 2 weeks ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- Representation learning for link prediction within social networks☆350Updated 6 years ago
- A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).☆367Updated 2 years ago
- Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.☆161Updated 4 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆663Updated 2 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆549Updated 3 years ago
- Representation learning on dynamic graphs using self-attention networks☆291Updated 2 years ago
- Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)☆708Updated last year
- SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural…☆637Updated 2 years ago
- The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).☆257Updated 2 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆407Updated 4 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆233Updated last year