Summary of Representation Learning in Multiplex Graphs: Where and How to Fuse Information?, by Piotr Bielak et al.
Representation learning in multiplex graphs: Where and how to fuse information?by Piotr Bielak, Tomasz KajdanowiczFirst…
Representation learning in multiplex graphs: Where and how to fuse information?by Piotr Bielak, Tomasz KajdanowiczFirst…
RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detectionby Haolin Li, Shuyang Jiang, Lifeng…
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problemby Cong…
Hyperdimensional Representation Learning for Node Classification and Link Predictionby Abhishek Dalvi, Vasant HonavarFirst submitted to…
Graph Learning with Distributional Edge Layoutsby Xinjian Zhao, Chaolong Ying, Tianshu YuFirst submitted to arxiv…
On the Generalization Capability of Temporal Graph Learning Algorithms: Theoretical Insights and a Simpler Methodby…
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networksby Yifan Duan, Guibin…
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learningby Vasudev Gohil, Satwik Patnaik, Dileep Kalathil,…
A Simple and Yet Fairly Effective Defense for Graph Neural Networksby Sofiane Ennadir, Yassine Abbahaddou,…
LinkSAGE: Optimizing Job Matching Using Graph Neural Networksby Ping Liu, Haichao Wei, Xiaochen Hou, Jianqiang…