abhilash1910 / Deep-Graph-Learning
A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorflow. This has been taken from https://www.kaggle.com/abhilash1910/nlp-workshop-ml-india-deep-graph-learning to apply GNNs/node embeddings on NLP task.
☆13Updated 3 years ago
Alternatives and similar repositories for Deep-Graph-Learning:
Users that are interested in Deep-Graph-Learning are comparing it to the libraries listed below
- Keras implementation of path-based link prediction model for knowledge graph completion☆24Updated 2 years ago
- This is a TensorFlow implementation of MRFasGCN for the task of semi-supervised community detection.☆10Updated 3 years ago
- Using fuzzy cognitive maps for multivariate data forecasting in Python 3.8.☆23Updated 4 years ago
- Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)☆17Updated last year
- Few-Shot Graph Classification via distance metric learning.☆21Updated last year
- Ensemble models, machine learning, deep learning, optimization☆13Updated 4 years ago
- [Applied Intelligence] Principal Graph Embedding Convolutional Recurrent Network for Traffic Flow Prediction☆12Updated 2 years ago
- The source code of the paper "SHGNN: Structure-Aware Heterogeneous Graph Neural Network"☆14Updated 3 years ago
- ☆13Updated 4 years ago
- ☆14Updated 2 years ago
- NGAT4Rec: Neighbor-Aware Graph Attention Network ForRecommendation☆15Updated 4 years ago
- WGCN: Graph Convolutional Networks with Weighted Structural Features, SIGIR 2021☆23Updated 3 years ago
- Source code and supplementary materials for paper "Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Ass…☆12Updated last year
- Ensemble learning with graph neural networks for disease module discovery and classification☆11Updated last year
- Anamoly Detection with Autoencoders - Credit Card Fraud Case☆16Updated 4 years ago
- Comparison of various data imputation methods☆15Updated 5 years ago
- A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf☆14Updated 5 years ago
- This repo contains the experiments performed for link prediction, multi-class classification and pairwise node classification task.☆10Updated 5 years ago
- ☆9Updated 2 years ago
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Updated 8 months ago
- jupyter notebook for mnist digit recognition using CNN, CNN feature map visualization and facical expression recognition☆9Updated 7 months ago
- Code for "Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding" ICDE 2021☆12Updated 3 years ago
- Advancing GraphSAGE with A Data-driven Node Sampling☆26Updated 2 years ago
- ☆18Updated 3 years ago
- Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181…☆31Updated 5 years ago
- Source codes for Time2Graph+ model.☆33Updated 4 years ago
- In this project I developed Convolutional Neural Network models for univariate , multivariate , multi-step time series forecasting.☆15Updated 5 years ago
- KDD'22 ''Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning''☆13Updated 2 years ago
- This code reproduces the results presented in the paper "DAEMA: Denoising Autoencoder with Mask Attention" accepted at the ICANN 2021 con…☆14Updated 3 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 4 years ago