A curated list of awesome graph representation learning.
☆70Oct 13, 2020Updated 5 years ago
Alternatives and similar repositories for awesome-graph-representation-learning
Users that are interested in awesome-graph-representation-learning are comparing it to the libraries listed below
Sorting:
- "Explainable classification of brain networks via contrast subgraphs" - T. Lanciano, F. Bonchi, A. Gionis☆20Mar 23, 2022Updated 3 years ago
- Representation-Learning-on-Heterogeneous-Graph☆443Mar 13, 2020Updated 5 years ago
- Awesome Graph Embedding Techinques☆60Nov 26, 2018Updated 7 years ago
- Source code of "NeurIPS21 - Universal Graph Convolutional Networks"☆20Nov 18, 2021Updated 4 years ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆59Dec 23, 2019Updated 6 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Dec 7, 2020Updated 5 years ago
- HiC-Reg is a tool to predict Hi-C contact counts from one-dimensional regulatory signals☆11Aug 25, 2020Updated 5 years ago
- ☆29Jul 12, 2022Updated 3 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆112Jun 10, 2021Updated 4 years ago
- Final Solution for MAG240M dataset of OGB-LSC@KDDCUP2021☆11Jun 17, 2021Updated 4 years ago
- A JupyterLab extension for displaying dashboards of GPU usage.☆13Aug 24, 2023Updated 2 years ago
- Dynamic visualization training service in Jupyter Notebook for Keras, tf.keras and others.☆15Mar 22, 2022Updated 3 years ago
- ☆12Dec 1, 2020Updated 5 years ago
- A Python lib for fraud detection in a financial context☆15Oct 15, 2024Updated last year
- https://arxiv.org/abs/2005.06935☆12Feb 2, 2023Updated 3 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 5 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆129Jul 16, 2022Updated 3 years ago
- Anamoly Detection with Autoencoders - Credit Card Fraud Case☆17Jun 7, 2020Updated 5 years ago
- A fork of Sebastian Nowozin's and Koji Tsuda's gboost code☆17Mar 5, 2013Updated 13 years ago
- A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models☆35May 26, 2021Updated 4 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,075May 6, 2025Updated 10 months ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Jun 17, 2024Updated last year
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Oct 11, 2022Updated 3 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Mar 2, 2021Updated 5 years ago
- SNAIL Attention Block for Keras.☆17Mar 30, 2020Updated 5 years ago
- The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).☆258Nov 6, 2022Updated 3 years ago
- ☆16Oct 13, 2020Updated 5 years ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆405Nov 6, 2022Updated 3 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Feb 20, 2020Updated 6 years ago
- slides for deep learning courses☆19Nov 27, 2020Updated 5 years ago
- [ARCHIVED] Dask support for multi-GPU machine learning algorithms --> Moved to cuml☆16Jul 30, 2019Updated 6 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆155Dec 9, 2021Updated 4 years ago
- A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).☆65Nov 6, 2022Updated 3 years ago
- Fast MSER and other comparison MSER algorithms☆18Jul 12, 2020Updated 5 years ago
- Online-lending fraud detection with customers' sequential behavioral data (End-to-end ML and NLP project).☆20Dec 12, 2020Updated 5 years ago
- Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks (TKDD 2019)☆19Mar 28, 2022Updated 3 years ago
- A curated list for awesome self-supervised learning for graphs.☆389Oct 25, 2022Updated 3 years ago
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆221May 31, 2022Updated 3 years ago
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆317Oct 18, 2019Updated 6 years ago