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07/03/2023
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
We present the Temporal Graph Benchmark (TGB), a collection of challengi...
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05/17/2023
Edge Directionality Improves Learning on Heterophilic Graphs
Graph Neural Networks (GNNs) have become the de-facto standard tool for ...
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09/30/2022
Graph Neural Networks for Link Prediction with Subgraph Sketching
Many Graph Neural Networks (GNNs) perform poorly compared to simple heur...
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06/16/2022
Learning to Infer Structures of Network Games
Strategic interactions between a group of individuals or organisations c...
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02/14/2022
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization
In the sequential decision making setting, an agent aims to achieve syst...
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11/23/2021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features
While Graph Neural Networks (GNNs) have recently become the de facto sta...
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06/21/2021
GRAND: Graph Neural Diffusion
We present Graph Neural Diffusion (GRAND) that approaches deep learning ...
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09/24/2020
Tuning Word2vec for Large Scale Recommendation Systems
Word2vec is a powerful machine learning tool that emerged from Natural L...
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06/18/2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Graph Neural Networks (GNNs) have recently become increasingly popular d...
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04/23/2020
SIGN: Scalable Inception Graph Neural Networks
Geometric deep learning, a novel class of machine learning algorithms ex...
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05/16/2019
