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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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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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04/11/2023
A Comprehensive Survey on Deep Graph Representation Learning
Graph representation learning aims to effectively encode high-dimensiona...
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07/19/2022
Target-Driven Structured Transformer Planner for Vision-Language Navigation
Vision-language navigation is the task of directing an embodied agent to...
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08/05/2021
TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding
Recently proposed fine-grained 3D visual grounding is an essential and c...
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10/28/2020
