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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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03/22/2023
Logical Expressiveness of Graph Neural Network for Knowledge Graph Reasoning
Graph Neural Networks (GNNs) have been recently introduced to learn from...
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05/05/2022
KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning
While hyper-parameters (HPs) are important for knowledge graph (KG) lear...
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08/20/2021
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction
Tabular data prediction (TDP) is one of the most popular industrial appl...
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07/01/2021
AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding
Scoring functions, which measure the plausibility of triples, have becom...
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11/09/2020
Graph Neural Network with Automorphic Equivalence Filters
Graph neural network (GNN) has recently been established as an effective...
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04/10/2019
Few-shot Learning: A Survey
The quest of `can machines think' and `can machines do what human do' ar...
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12/16/2018
