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08/18/2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction
Self-supervised learning with masked autoencoders has recently gained po...
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08/10/2023
Homophily-enhanced Structure Learning for Graph Clustering
Graph clustering is a fundamental task in graph analysis, and recent adv...
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07/22/2023
Collaborative Graph Neural Networks for Attributed Network Embedding
Graph neural networks (GNNs) have shown prominent performance on attribu...
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06/17/2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
Graph Neural Networks (GNNs) have emerged as the de facto standard for r...
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03/30/2023
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant
Organ transplant is the essential treatment method for some end-stage di...
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03/24/2023
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint
Clinical trials are indispensable in developing new treatments, but they...
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02/28/2023
Towards Personalized Preprocessing Pipeline Search
Feature preprocessing, which transforms raw input features into numerica...
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12/23/2022
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection
Graph neural networks (GNNs) have received remarkable success in link pr...
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09/14/2022
Graph Contrastive Learning with Personalized Augmentation
Graph contrastive learning (GCL) has emerged as an effective tool for le...
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01/07/2022
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs
We introduce a novel masked graph autoencoder (MGAE) framework to perfor...
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02/18/2021
Dynamic Memory based Attention Network for Sequential Recommendation
Sequential recommendation has become increasingly essential in various o...
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02/18/2021
Sparse-Interest Network for Sequential Recommendation
Recent methods in sequential recommendation focus on learning an overall...
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03/04/2020
Learning to Hash with Graph Neural Networks for Recommender Systems
Graph representation learning has attracted much attention in supporting...
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05/25/2019
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
Networks have been widely used as the data structure for abstracting rea...
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04/18/2019
