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09/07/2023
Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation
Latent factor models are the dominant backbones of contemporary recommen...
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08/23/2023
Fine-grained Spatio-Temporal Distribution Prediction of Mobile Content Delivery in 5G Ultra-Dense Networks
The 5G networks have extensively promoted the growth of mobile users and...
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05/31/2023
Learning Music Sequence Representation from Text Supervision
Music representation learning is notoriously difficult for its complex h...
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05/20/2023
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining
Many text mining models are constructed by fine-tuning a large deep pre-...
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04/11/2023
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification
Learning unbiased node representations for imbalanced samples in the gra...
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04/04/2023
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment
The multi-modal entity alignment (MMEA) aims to find all equivalent enti...
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03/17/2023
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization
Graph Neural Networks (GNNs) are de facto solutions to structural data l...
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02/18/2023
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
The Pretrained Foundation Models (PFMs) are regarded as the foundation f...
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01/28/2023
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
Contrastive Learning (CL) has been proved to be a powerful self-supervis...
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12/30/2022
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
Most Graph Neural Networks follow the message-passing paradigm, assuming...
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11/15/2022
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems
Event detection in power systems aims to identify triggers and event typ...
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09/15/2022
BadRes: Reveal the Backdoors through Residual Connection
Generally, residual connections are indispensable network components in ...
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08/17/2022
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing
Topology-imbalance is a graph-specific imbalance problem caused by the u...
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06/01/2022
Task-Specific Expert Pruning for Sparse Mixture-of-Experts
The sparse Mixture-of-Experts (MoE) model is powerful for large-scale pr...
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06/01/2022
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption
As more and more pre-trained language models adopt on-cloud deployment, ...
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03/03/2022
Curvature Graph Generative Adversarial Networks
Generative adversarial network (GAN) is widely used for generalized and ...
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02/17/2022
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework
Traffic flow prediction is an integral part of an intelligent transporta...
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02/03/2022
Reliable Community Search in Dynamic Networks
Local community search is an important research topic to support complex...
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01/22/2022
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing
The goal of Knowledge Tracing (KT) is to estimate how well students have...
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01/16/2022
Temporal Knowledge Graph Completion: A Survey
Knowledge graph completion (KGC) can predict missing links and is crucia...
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12/16/2021
Graph Structure Learning with Variational Information Bottleneck
Graph Neural Networks (GNNs) have shown promising results on a broad spe...
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10/15/2021
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
Graph Neural Networks (GNNs) have been widely studied in various graph d...
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10/08/2021
Sentiment Analysis and Topic Modeling for COVID-19 Vaccine Discussions
The outbreak of the novel Coronavirus Disease 2019 (COVID-19) has lasted...
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09/21/2021
Representation Learning for Short Text Clustering
Effective representation learning is critical for short text clustering ...
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08/23/2021
Event Extraction by Associating Event Types and Argument Roles
Event extraction (EE), which acquires structural event knowledge from te...
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07/05/2021
Deep Learning Schema-based Event Extraction: Literature Review and Current Trends
Schema-based event extraction is a critical technique to apprehend the e...
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06/23/2021
Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations
Event extraction is a fundamental task for natural language processing. ...
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06/07/2021
RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models
Pre-trained language models achieve outstanding performance in NLP tasks...
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06/06/2021
Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation
Automatic microblog hashtag generation can help us better and faster und...
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05/29/2021
Automated Timeline Length Selection for Flexible Timeline Summarization
By producing summaries for long-running events, timeline summarization (...
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05/28/2021
Noised Consistency Training for Text Summarization
Neural abstractive summarization methods often require large quantities ...
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05/22/2021
A Robust and Generalized Framework for Adversarial Graph Embedding
Graph embedding is essential for graph mining tasks. With the prevalence...
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05/17/2021
Federated Knowledge Graphs Embedding
In this paper, we propose a novel decentralized scalable learning framew...
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05/07/2021
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks
Graph representation learning has achieved great success in many areas, ...
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04/16/2021
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
Graph neural networks (GNNs) have been widely used in deep learning on g...
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04/12/2021
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization
The current state-of-the-art model HiAGM for hierarchical text classific...
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04/02/2021
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks
Events are happening in real-world and real-time, which can be planned a...
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03/29/2021
Dynamic Network Embedding Survey
Since many real world networks are evolving over time, such as social ne...
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01/21/2021
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
Social events provide valuable insights into group social behaviors and ...
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01/20/2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Graph representation learning has attracted increasing research attentio...
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01/18/2021
Chaotic-to-Fine Clustering for Unlabeled Plant Disease Images
Current annotation for plant disease images depends on manual sorting an...
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12/14/2020
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Many real-world applications require the prediction of long sequence tim...
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11/02/2020
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation
Review rating prediction of text reviews is a rapidly growing technology...
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09/01/2020
Top-k Socio-Spatial Co-engaged Location Selection for Social Users
With the advent of location-based social networks, users can tag their d...
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08/30/2020
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
Name disambiguation aims to identify unique authors with the same name. ...
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08/12/2020
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market
We present Luce, the first life-long predictive model for automated prop...
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08/09/2020
Adversarial Directed Graph Embedding
Node representation learning for directed graphs is critically important...
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08/02/2020
A Survey on Text Classification: From Shallow to Deep Learning
Text classification is the most fundamental and essential task in natura...
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07/29/2020
CommuNety: A Deep Learning System for the Prediction of Cohesive Social Communities
Effective mining of social media, which consists of a large number of us...
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07/17/2020
