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08/17/2023
Optimal Resource Allocation for U-Shaped Parallel Split Learning
Split learning (SL) has emerged as a promising approach for model traini...
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07/12/2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
Graph learning methods, such as Graph Neural Networks (GNNs) based on gr...
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06/04/2023
Less is More: Revisiting Gaussian Mechanism for Differential Privacy
In this paper, we identify that the classic Gaussian mechanism and its v...
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06/02/2023
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
Graph Anomaly Detection (GAD) is a technique used to identify abnormal n...
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04/22/2023
Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities
Smart cities demand resources for rich immersive sensing, ubiquitous com...
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04/20/2023
Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks
In this paper, we provide a theory of using graph neural networks (GNNs)...
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03/06/2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning
Subgraph-based graph representation learning (SGRL) has recently emerged...
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01/08/2023
Unsupervised Learning for Combinatorial Optimization Needs Meta-Learning
A general framework of unsupervised learning for combinatorial optimizat...
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12/23/2022
Graph Federated Learning with Hidden Representation Sharing
Learning on Graphs (LoG) is widely used in multi-client systems when eac...
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10/30/2022
Interpretable Geometric Deep Learning via Learnable Randomness Injection
Point cloud data is ubiquitous in scientific fields. Recently, geometric...
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10/27/2022
Federated Graph Representation Learning using Self-Supervision
Federated graph representation learning (FedGRL) brings the benefits of ...
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10/17/2022
Extensible Proxy for Efficient NAS
Neural Architecture Search (NAS) has become a de facto approach in the r...
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10/17/2022
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information
Unlike traditional static deep neural networks (DNNs), dynamic neural ne...
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09/08/2022
SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning
Recent years have witnessed significant success in Self-Supervised Learn...
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09/02/2022
Neighborhood-aware Scalable Temporal Network Representation Learning
Temporal networks have been widely used to model real-world complex syst...
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07/22/2022
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
Graph neural networks (GNNs) have shown superiority in many prediction t...
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07/13/2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
Using machine learning to solve combinatorial optimization (CO) problems...
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06/20/2022
Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction
Link prediction is one important application of graph neural networks (G...
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04/04/2022
Robust Fingerprinting of Genomic Databases
Database fingerprinting has been widely used to discourage unauthorized ...
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03/28/2022
A Framework of Meta Functional Learning for Regularising Knowledge Transfer
Machine learning classifiers' capability is largely dependent on the sca...
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03/01/2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
Graph neural networks (GNN) have shown great advantages in many graph-ba...
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02/28/2022
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning
Subgraph-based graph representation learning (SGRL) has been recently pr...
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02/18/2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Graph neural networks (GNNs) have drawn significant research attention r...
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01/31/2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
Interpretable graph learning is in need as many scientific applications ...
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01/25/2022
Energy-Efficient Computation Offloading in MobileEdge Computing Systems with Uncertainties
Computation offloading is indispensable for mobile edge computing (MEC)....
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01/18/2022
High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing
Agile hardware development requires fast and accurate circuit quality ev...
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12/01/2021
Ranking Distance Calibration for Cross-Domain Few-Shot Learning
Recent progress in few-shot learning promotes a more realistic cross-dom...
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10/25/2021
Nested Graph Neural Networks
Graph neural network (GNN)'s success in graph classification is closely ...
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09/13/2021
Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation
Circuit design is complicated and requires extensive domain-specific exp...
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09/06/2021
Differentially-Private Fingerprinting of Relational Databases
When sharing sensitive databases with other parties, a database owner ai...
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08/04/2021
Generic Neural Architecture Search via Regression
Most existing neural architecture search (NAS) algorithms are dedicated ...
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07/03/2021
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
Graph neural networks (GNNs) have been widely used in various graph-rela...
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06/11/2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
Graph neural networks (GNNs) have achieved tremendous success on multipl...
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06/10/2021
Neural Higher-order Pattern (Motif) Prediction in Temporal Networks
Dynamic systems that consist of a set of interacting elements can be abs...
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06/10/2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
Self-supervised learning of graph neural networks (GNN) is in great need...
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06/08/2021
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
Hypergraph offers a framework to depict the multilateral relationships i...
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06/05/2021
PURS: Personalized Unexpected Recommender System for Improving User Satisfaction
Classical recommender system methods typically face the filter bubble pr...
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06/05/2021
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction
Cross domain recommender system constitutes a powerful method to tackle ...
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04/17/2021
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations
Cross domain recommender systems have been increasingly valuable for hel...
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04/13/2021
MELOPPR: Software/Hardware Co-design for Memory-efficient Low-latency Personalized PageRank
Personalized PageRank (PPR) is a graph algorithm that evaluates the impo...
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03/11/2021
The Curse of Correlations for Robust Fingerprinting of Relational Databases
Database fingerprinting schemes have been widely adopted to prevent unau...
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02/15/2021
Genomic Data Sharing under Dependent Local Differential Privacy
Privacy-preserving genomic data sharing is prominent to increase the pac...
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01/15/2021
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
Temporal networks serve as abstractions of many real-world dynamic syste...
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01/06/2021
Handling many conversions per click in modeling delayed feedback
Predicting the expected value or number of post-click conversions (purch...
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11/22/2020
Revisiting graph neural networks and distance encoding in a practical view
Graph neural networks (GNNs) are widely used in the applications based o...
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11/09/2020
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
Edge streams are commonly used to capture interactions in dynamic networ...
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10/30/2020
Revisiting Graph Neural Networks for Link Prediction
Graph neural networks (GNNs) have achieved great success in recent years...
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10/24/2020
Graph Information Bottleneck
Representation learning of graph-structured data is challenging because ...
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09/17/2020
MStream: Fast Streaming Multi-Aspect Group Anomaly Detection
Given a stream of entries in a multi-aspect data setting i.e., entries h...
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08/31/2020
