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02/21/2023
Multi-Modal Self-Supervised Learning for Recommendation
The online emergence of multi-modal sharing platforms (eg, TikTok, Youtu...
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02/01/2023
Knowledge Distillation on Graphs: A Survey
Graph Neural Networks (GNNs) have attracted tremendous attention by demo...
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11/19/2022
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
Graph Neural Networks (GNNs) have drawn significant attentions over the ...
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11/12/2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Graph structure learning (GSL), which aims to learn the adjacency matrix...
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10/12/2022
Boosting Graph Neural Networks via Adaptive Knowledge Distillation
Graph neural networks (GNNs) have shown remarkable performance on divers...
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10/06/2022
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
A common thread of open-domain question answering (QA) models employs a ...
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10/05/2022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Self-supervised learning (SSL) for graph neural networks (GNNs) has attr...
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10/01/2022
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning
Even pruned by the state-of-the-art network compression methods, Graph N...
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09/30/2022
Contrastive Graph Few-Shot Learning
Prevailing deep graph learning models often suffer from label sparsity i...
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09/16/2022
Adversarial Cross-View Disentangled Graph Contrastive Learning
Graph contrastive learning (GCL) is prevalent to tackle the supervision ...
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08/22/2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
While Graph Neural Networks (GNNs) have demonstrated their efficacy in d...
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08/21/2022
Heterogeneous Graph Masked Autoencoders
Generative self-supervised learning (SSL), especially masked autoencoder...
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07/28/2022
Self-Supervised Hypergraph Transformer for Recommender Systems
Graph Neural Networks (GNNs) have been shown as promising solutions for ...
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07/08/2022
Graph-based Molecular Representation Learning
Molecular representation learning (MRL) is a key step to build the conne...
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05/24/2022
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks
Learning effective recipe representations is essential in food studies. ...
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05/24/2022
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation
Recipe recommendation systems play an essential role in helping people d...
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05/19/2022
Label-invariant Augmentation for Semi-Supervised Graph Classification
Recently, contrastiveness-based augmentation surges a new climax in the ...
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10/26/2021
Heterogeneous Temporal Graph Neural Network
Graph neural networks (GNNs) have been broadly studied on dynamic graphs...
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02/16/2021
Few-Shot Graph Learning for Molecular Property Prediction
The recent success of graph neural networks has significantly boosted mo...
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09/02/2020
Self-supervised Smoothing Graph Neural Networks
This paper studies learning node representations with GNNs for unsupervi...
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05/19/2020
Addressing Class-Imbalance Problem in Personalized Ranking
Pairwise ranking models have been widely used to address recommendation ...
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03/12/2020
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning
Path-based relational reasoning over knowledge graphs has become increas...
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11/26/2019
Few-Shot Knowledge Graph Completion
Knowledge graphs (KGs) serve as useful resources for various natural lan...
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10/07/2019
Graph Few-shot Learning via Knowledge Transfer
Towards the challenging problem of semi-supervised node classification, ...
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11/20/2018