Pinned Repositories
am-gospel-songs
Ethiopian gospel singers lyrics dataset
cas2vec
Tensorflow Implementation of the cas2vec algorithm as described in the paper, "Network-Agnostic Cascade Prediction in Online Social Networks"
deepred
A PyTorch implementation of DeepRed
GAP
Implementation of GAP: Graph Neighborhood Attentive Pooling, https://arxiv.org/abs/2001.10394. A context-sensitve graph (network) representation learning algorithm that relies only on the structure of the graph.
goat
A PyTorch implementation of the "Gossip and Attend: Context-sensitive Graph Representation Learning" paper, the International AAAI Conference on Web and Social Media (ICWSM 2020)
GRADE
A tool for evaluating graph embedding algorithms
graph-surgeon
A PyTorch implementation of "Self-Supervised GNN that Jointly Learns to Augment" or "Jointly Learnable Data Augmentations for Self-Supervised GNNs" papers, which appeared at Neurips2021 Workshop on Self-Supervised Learning - Theory and Practice
mineral-python
Implementation of the Mineral algorithm as described in the paper, Mineral: Multi-modal Network Representation Learning.
readinggroup
A PhD level reading course on advanced topics in Data Mining and Analytics.
SelfGNN
A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).
zekarias-tilahun's Repositories
zekarias-tilahun/mineral-python
Implementation of the Mineral algorithm as described in the paper, Mineral: Multi-modal Network Representation Learning.
zekarias-tilahun/GRADE
A tool for evaluating graph embedding algorithms
zekarias-tilahun/DeepCas
zekarias-tilahun/bible-corpus
A multilingual parallel corpus created from translations of the Bible.
zekarias-tilahun/CANE
Source code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"
zekarias-tilahun/GAT2VEC
representation learning on attributed graphs
zekarias-tilahun/link-prediction_with_deep-learning
zekarias-tilahun/sensemaking
Django web app for the virality prediction component of the sensemaking EIT project developed at KTH Royal Institute of Technology