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04/20/2023
Learning Cellular Coverage from Real Network Configurations using GNNs
Cellular coverage quality estimation has been a critical task for self-o...
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07/08/2022
Open World Learning Graph Convolution for Latency Estimation in Routing Networks
Accurate routing network status estimation is a key component in Softwar...
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06/17/2022
Decentralized adaptive clustering of deep nets is beneficial for client collaboration
We study the problem of training personalized deep learning models in a ...
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06/15/2022
Adaptive Expert Models for Personalization in Federated Learning
Federated Learning (FL) is a promising framework for distributed learnin...
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10/03/2021
Meta-Reinforcement Learning via Buffering Graph Signatures for Live Video Streaming Events
In this study, we present a meta-learning model to adapt the predictions...
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08/23/2021
Jointly Learnable Data Augmentations for Self-Supervised GNNs
Self-supervised Learning (SSL) aims at learning representations of objec...
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07/28/2021
A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming
In this paper we present a deep graph reinforcement learning model to pr...
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04/19/2021
Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning
Large scale contextual representation models have significantly advanced...
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03/27/2021
Self-supervised Graph Neural Networks without explicit negative sampling
Real world data is mostly unlabeled or only few instances are labeled. M...
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11/11/2020
EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events
In this study, we present a dynamic graph representation learning model ...
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11/10/2020
Dynamic Embeddings for Interaction Prediction
In recommender systems (RSs), predicting the next item that a user inter...
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10/12/2020
Pedestrian Trajectory Prediction with Convolutional Neural Networks
Predicting the future trajectories of pedestrians is a challenging probl...
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03/30/2020
Gossip and Attend: Context-Sensitive Graph Representation Learning
Graph representation learning (GRL) is a powerful technique for learning...
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01/28/2020
