Search Results for author:
Found 12 papers, 0 papers with code
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
Employing an adversarial training framework, the edge predictor utilizes the line graph transformed from the original graph to estimate the edges to be dropped, which improves the interpretability of the edge-dropping method.
Continual Learning on Graphs: A Survey
Recently, continual graph learning has been increasingly adopted for diverse graph-structured data processing tasks in non-stationary environments.
Adaptive Multi-Agent Deep Reinforcement Learning for Timely Healthcare Interventions
Effective patient monitoring is vital for timely interventions and improved healthcare outcomes.
Selective transfer learning with adversarial training for stock movement prediction
To validate our method, we perform the back-testing on the historical data of two public datasets and a newly constructed dataset.
Artificial Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges
For that, Artificial Intelligence (AI) is enabling higher value-added manufacturing by accelerating the integration of manufacturing and information communication technologies, including computing, communication, and control.
Compacting Deep Neural Networks for Internet of Things: Methods and Applications
Deep Neural Networks (DNNs) have shown great success in completing complex tasks.
Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles
The simulation results show that the grand coalition, where all UAVs join a single coalition, is not always stable due to the profit-maximizing behavior of the UAVs.
Networking and Internet Architecture Signal Processing
XBlock-EOS: Extracting and Exploring Blockchain Data From EOSIO
It is challenging to process and analyze a high volume of raw EOSIO data and establish the mapping from original raw data to the well-grained datasets since it requires substantial efforts in extracting various types of data as well as sophisticated knowledge on software engineering and data analytics.
Computational Engineering, Finance, and Science Cryptography and Security
Blockchain Intelligence: When Blockchain Meets Artificial Intelligence
Blockchain is gaining extensive attention due to its provision of secure and decentralized resource sharing manner.
XBlock-ETH: Extracting and Exploring Blockchain Data From Ethereum
We name these well-processed Ethereum datasets as XBlock-ETH, which consists of the data of blockchain transactions, smart contracts, and cryptocurrencies (i. e., tokens).
Cryptography and Security
Big Data Analytics for Large Scale Wireless Networks: Challenges and Opportunities
We then present a detailed survey of the technical solutions to the challenges in BDA for large scale wireless networks according to each stage in the life cycle of BDA.
Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies
The recent advances in information and communication technology (ICT) have promoted the evolution of conventional computer-aided manufacturing industry to smart data-driven manufacturing.
