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09/08/2023
Unleashing the Power of Graph Learning through LLM-based Autonomous Agents
Graph structured data are widely existed and applied in the real-world a...
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02/17/2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification
In recent years, Graph Neural Networks (GNNs) have been popular in the g...
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11/20/2022
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach
In recent years, Graph Neural Networks (GNNs) have been popular in graph...
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07/13/2022
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search
Aiming at two molecular graph datasets and one protein association subgr...
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04/06/2022
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020
Graph structured data is ubiquitous in daily life and scientific areas a...
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12/29/2021
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective
In recent years, Graph Neural Networks (GNNs) have shown superior perfor...
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12/27/2021
Learn Layer-wise Connections in Graph Neural Networks
In recent years, Graph Neural Networks (GNNs) have shown superior perfor...
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08/24/2021
Pooling Architecture Search for Graph Classification
Graph classification is an important problem with applications across ma...
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08/26/2020
