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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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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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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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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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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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03/29/2023
Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data
How to automatically synthesize natural-looking dance movements based on...
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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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05/21/2022
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification
This paper studies semi-supervised graph classification, which is an imp...
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12/09/2021