A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
☆297Feb 28, 2022Updated 4 years ago
Alternatives and similar repositories for graph_datasets
Users that are interested in graph_datasets are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,805Mar 18, 2023Updated 3 years ago
- This repository summarises the open source codes of our group☆27Nov 3, 2022Updated 3 years ago
- ☆12Apr 16, 2020Updated 5 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆91Dec 12, 2019Updated 6 years ago
- LDP for graph classification☆23Nov 14, 2019Updated 6 years ago
- How Powerful are Graph Neural Networks?☆1,277Jul 1, 2021Updated 4 years ago
- ☆35Jun 10, 2019Updated 6 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Jun 17, 2024Updated last year
- Graph Classification with Graph Convolutional Networks in PyTorch [NeurIPS 2018 Workshop]☆337Oct 16, 2020Updated 5 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆54May 5, 2020Updated 5 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆179May 14, 2018Updated 7 years ago
- A curated list of network embedding techniques.☆2,624Dec 8, 2020Updated 5 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,666Aug 4, 2024Updated last year
- A convolutional neural network for graph classification in PyTorch☆91Feb 15, 2019Updated 7 years ago
- ☆506Jan 13, 2021Updated 5 years ago
- Graph Embedding via Frequent Subgraphs☆45May 5, 2020Updated 5 years ago
- Tri-Party Deep Network Representation, IJCAI-16☆75Feb 28, 2022Updated 4 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Jul 16, 2023Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,076May 6, 2025Updated 10 months ago
- ☆12May 31, 2021Updated 4 years ago
- PyTorch implementation of DGCNN☆397Sep 13, 2023Updated 2 years ago
- Pytorch implementation of XGNN☆10Jan 20, 2021Updated 5 years ago
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆933Nov 6, 2022Updated 3 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,651Jun 22, 2023Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆356Jun 12, 2025Updated 9 months ago
- links to conference publications in graph-based deep learning☆5,039Feb 7, 2026Updated last month
- Source Code of GraRep☆52Feb 22, 2018Updated 8 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Jul 17, 2018Updated 7 years ago
- A package for computing Graph Kernels☆103Jul 21, 2023Updated 2 years ago
- Network Embedding Survey and Resources☆41Feb 14, 2017Updated 9 years ago
- Graph Convolutional Networks (GCNs)☆919Feb 9, 2018Updated 8 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 3 years ago
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆861Dec 15, 2023Updated 2 years ago
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆128Jun 7, 2025Updated 9 months ago
- This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper☆25Oct 13, 2017Updated 8 years ago
- A scikit-learn compatible library for graph kernels☆638Jul 26, 2025Updated 7 months ago
- Paper Lists for Graph Neural Networks☆2,294Dec 29, 2023Updated 2 years ago
- The official code of EMNLP 2022, "How Far are We from Robust Long Abstractive Summarization?".☆18Sep 26, 2023Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆848Dec 13, 2021Updated 4 years ago