CGLB: Benchmark Tasks for Continual Graph Learning

Distributed Distributionally Robust Optimization with Non-Convex Objectives

Sparsified Subgraph Memory for Continual Graph Learning

Deep Federated Anomaly Detection for Multivariate Time Series Data

Hierarchical Prototype Networks for Continual Graph Representation Learning

TimeAutoAD: Autonomous Anomaly Detection with Self-supervised Contrastive Loss for Multivariate Time Series

Multimodal Sensing and Therapeutic Systems for Wound Healing and Management: A Review

Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization

Convolutional Transformer based Dual Discriminator General Adversarial Networks for Video Anomaly Detection

FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems

Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection

Inductive Contextual Relation Learning for Personalization

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series

Multi-Task Recurrent Modular Networks

At the speed of sound efficient audio scene classification

Node Classification in Temporal Graphs through Stochastic Sparsification and Temporal Structural Convolution

Robust Graph Representation Learning via Neural Sparsification

Inductive and Unsupervised Representation Learning on Graph Structured Objects

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series

Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-based Recommendation

Multi-task Recurrent Neural Network and Higher-order Markov Random Fields for Stock Price Prediction

Heterogeneous Graph Neural Network

Deep Co-Clustering

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

Learning Deep Network Representations with Adversarially Regularized Autoencoders

Deep r-th Root of Rank Supervised Binary Embedding for Multivariate Time Series Retrieval

Learning Structured and Interpretable Nonlinear Relationship in Complex Physical Systems

Identifying Multiple Causal Anomalies by Modeling Local Propagations

Exemplar-Centered Supervised Shallow Para-metric Data Embedding

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Fast Structural Binary Coding

Top Rank Supervised Binary Coding for Visual Search

Top-k Link Recommendation in Social Networks

Efficient Latent Link Recommendation in Signed Networks

Rank Preserving Hashing for Rapid Image Search

Recommending Positive Links in Signed Social Networks by Optimizing a Generalized AUC

Link Sign Prediction and Ranking in Signed Directed Social Networks

High Resolution Population Estimates from Telecommunications Data

Efficient Robust Conditional Random Fields

Fast Nonnegative Matrix Factorization with Rank-one ADMM

A Model of Consistent Node Types in Signed Directed Social Networks

Analyzing Social Divisions Using Cell Phone Data

Biologically Inspired Feature Manifold for Scene Classification

Discriminative Geometry Preserving Projections

C1 Units for Scene Classification