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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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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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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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10/06/2022
DeltaFS: Pursuing Zero Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Devices
Data compression has been widely adopted to release mobile devices from ...
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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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03/03/2022
Curvature Graph Generative Adversarial Networks
Generative adversarial network (GAN) is widely used for generalized and ...
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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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11/16/2021
HADFL: Heterogeneity-aware Decentralized Federated Learning Framework
Federated learning (FL) supports training models on geographically distr...
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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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09/07/2019
