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09/02/2023
Pure Message Passing Can Estimate Common Neighbor for Link Prediction
Message Passing Neural Networks (MPNNs) have emerged as the de facto sta...
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05/27/2023
What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks
Large Language Models (LLMs) with strong abilities in natural language p...
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11/29/2022
FakeEdge: Alleviate Dataset Shift in Link Prediction
Link prediction is a crucial problem in graph-structured data. Due to th...
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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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10/11/2022
Linkless Link Prediction via Relational Distillation
Graph Neural Networks (GNNs) have been widely used on graph data and hav...
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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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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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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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04/07/2022
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods
Multi-task learning (MTL) has become increasingly popular in natural lan...
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03/19/2022
SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance
Comprehensively evaluating and comparing researchers' academic performan...
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04/15/2021
Sentence-Permuted Paragraph Generation
Generating paragraphs of diverse contents is important in many applicati...
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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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01/28/2020
