Pinned Repositories
DQN
DQN
EdgeProp
GAT-with-edgewise-attention
GAT with edgewise attention
Graph-Learning-on-mobile-transaction
Graph Learning on mobile transaction
MMI
MMI
PERT-GNN-KDD23
Official Implementation of our KDD 2023 Paper: PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks.
handasontam's Repositories
handasontam/PERT-GNN-KDD23
Official Implementation of our KDD 2023 Paper: PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks.
handasontam/Graph-Learning-on-mobile-transaction
Graph Learning on mobile transaction
handasontam/EdgeProp
handasontam/DQN
DQN
handasontam/GAT-with-edgewise-attention
GAT with edgewise attention
handasontam/MMI
MMI
handasontam/Papers
Papers
handasontam/Agglomerative-Info-Clustering
handasontam/Alpha-Beta-Communities
Alpha-Beta-Communities-Detection
handasontam/api-tracing-app-management
Deep Learning for API-aware Resource Estimation
handasontam/Axelrod
A research tool for the Iterated Prisoner's Dilemma
handasontam/Binder-GameClustering-InfoClustering
Binder for demonstrating Game-Clustering and Info-Clustering
handasontam/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
handasontam/dotfiles
my dotfiles for linux
handasontam/Game-Clustering
Game Clustering
handasontam/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
handasontam/gcn
Implementation of Graph Convolutional Networks in TensorFlow
handasontam/GNNPapers
Must-read papers on graph neural networks (GNN)
handasontam/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
handasontam/GraphAdaMix
This is the code repository of AISTATS2022 paper 'GraphAdaMix: Enhancing Node Representations with Graph Adaptive Mixtures'
handasontam/handasontam.github.io
Blog
handasontam/Info-Clustering
An implementation of Info-Clustering
handasontam/MineInfoGan
mine + infogan
handasontam/rtnorm
Fast Truncated Normal Sampler in Python
handasontam/tensorflow
Computation using data flow graphs for scalable machine learning