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09/21/2023
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
This paper studies the problem of traffic flow forecasting, which aims t...
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09/19/2023
Semi-supervised Domain Adaptation in Graph Transfer Learning
As a specific case of graph transfer learning, unsupervised domain adapt...
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09/11/2023
Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model
Demographics, Social determinants of health, and family history document...
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08/31/2023
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts
Graph classification, aiming at learning the graph-level representations...
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08/04/2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification
Graph classification is a crucial task in many real-world multimedia app...
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07/27/2023
Scaling TransNormer to 175 Billion Parameters
We present TransNormerLLM, the first linear attention-based Large Langua...
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06/20/2023
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
Multi-agent dynamical systems refer to scenarios where multiple units in...
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06/14/2023
Learning on Graphs under Label Noise
Node classification on graphs is a significant task with a wide range of...
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06/08/2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
Although graph neural networks (GNNs) have achieved impressive achieveme...
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06/02/2023
Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains
Rapid discovery of new diseases, such as COVID-19 can enable a timely ep...
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05/31/2023
Towards Semi-supervised Universal Graph Classification
Graph neural networks have pushed state-of-the-arts in graph classificat...
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05/19/2023
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
In this paper, we investigate the challenge of spatio-temporal video pre...
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05/15/2023
Mode Approximation Makes Good Vision-Language Prompts
With the advance of large-scale model technologies, parameter-efficient ...
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04/14/2023
Learning Graph ODE for Continuous-Time Sequential Recommendation
Sequential recommendation aims at understanding user preference by captu...
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04/14/2023
A Diffusion model for POI recommendation
Next Point-of-Interest (POI) recommendation is a critical task in locati...
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04/11/2023
A Comprehensive Survey on Deep Graph Representation Learning
Graph representation learning aims to effectively encode high-dimensiona...
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03/17/2023
LION: Implicit Vision Prompt Tuning
Despite recent competitive performance across a range of vision tasks, v...
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10/21/2022
GLCC: A General Framework for Graph-level Clustering
This paper studies the problem of graph-level clustering, which is a nov...
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05/26/2022
Efficient textual explanations for complex road and traffic scenarios based on semantic segmentation
The complex driving environment brings great challenges to the visual pe...
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03/13/2022
Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns
Extracting cause-effect entities from medical literature is an important...
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09/13/2021
ARGO: Modeling Heterogeneity in E-commerce Recommendation
Nowadays, E-commerce is increasingly integrated into our daily lives. Me...
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06/02/2021
DNA-GCN: Graph convolutional networks for predicting DNA-protein binding
Predicting DNA-protein binding is an important and classic problem in bi...
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05/25/2021
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation
With the increasing scale and diversification of interaction behaviors i...
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05/13/2021
Deep Unsupervised Hashing by Distilled Smooth Guidance
Hashing has been widely used in approximate nearest neighbor search for ...
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04/04/2021
ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Context
Semantic relationships, such as hyponym-hypernym, cause-effect, meronym-...
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10/15/2020
CIMON: Towards High-quality Hash Codes
Recently, hashing is widely-used in approximate nearest neighbor search ...
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10/13/2019
Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT
Despite recent advances in the application of deep learning algorithms t...
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04/18/2019
Rumour Detection via News Propagation Dynamics and User Representation Learning
Rumours have existed for a long time and have been known for serious con...
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10/22/2018
