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06/12/2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs
Self-supervised learning on graphs has made large strides in achieving g...
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01/29/2023
Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study
Culture shapes people's behavior, both online and offline. Surprisingly,...
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10/11/2022
Linkless Link Prediction via Relational Distillation
Graph Neural Networks (GNNs) have been widely used on graph data and hav...
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10/07/2022
Empowering Graph Representation Learning with Test-Time Graph Transformation
As powerful tools for representation learning on graphs, graph neural ne...
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09/30/2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Training graph neural networks (GNNs) on large graphs is complex and ext...
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09/17/2022
Flashlight: Scalable Link Prediction with Effective Decoders
Link prediction (LP) has been recognized as an important task in graph l...
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01/28/2022
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games
Explaining predictions made by machine learning models is important and ...
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10/17/2021
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
Graph Neural Networks (GNNs) have recently become popular for graph mach...
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10/05/2020
A Unified View on Graph Neural Networks as Graph Signal Denoising
Graph Neural Networks (GNNs) have risen to prominence in learning repres...
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06/11/2020
Data Augmentation for Graph Neural Networks
Data augmentation has been widely used to improve generalizability of ma...
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06/10/2020
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps
With the rapid growth and prevalence of social network applications (App...
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06/02/2019
