Summary of Novel Representation Learning Technique Using Graphs For Performance Analytics, by Tarek Ramadan et al.
Novel Representation Learning Technique using Graphs for Performance Analyticsby Tarek Ramadan, Ankur Lahiry, Tanzima Z.…
Summary of Infinite-horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation, by Ruizhe Zhang et al.
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregationby Ruizhe Zhang, Xinke Jiang,…
Summary of Universally Robust Graph Neural Networks by Preserving Neighbor Similarity, By Yulin Zhu et al.
Universally Robust Graph Neural Networks by Preserving Neighbor Similarityby Yulin Zhu, Yuni Lai, Xing Ai,…
Summary of Beyond Weisfeiler-lehman: a Quantitative Framework For Gnn Expressiveness, by Bohang Zhang et al.
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressivenessby Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei…
Summary of Graph Language Models, by Moritz Plenz et al.
Graph Language Modelsby Moritz Plenz, Anette FrankFirst submitted to arxiv on: 13 Jan 2024CategoriesMain: Computation…
Summary of Graph Q-learning For Combinatorial Optimization, by Victoria M. Dax et al.
Graph Q-Learning for Combinatorial Optimizationby Victoria M. Dax, Jiachen Li, Kevin Leahy, Mykel J. KochenderferFirst…
Summary of Deep Efficient Private Neighbor Generation For Subgraph Federated Learning, by Ke Zhang et al.
Deep Efficient Private Neighbor Generation for Subgraph Federated Learningby Ke Zhang, Lichao Sun, Bolin Ding,…
Summary of Accurate and Scalable Estimation Of Epistemic Uncertainty For Graph Neural Networks, by Puja Trivedi et al.
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networksby Puja Trivedi, Mark Heimann,…
Summary of A Topology-aware Graph Coarsening Framework For Continual Graph Learning, by Xiaoxue Han et al.
A Topology-aware Graph Coarsening Framework for Continual Graph Learningby Xiaoxue Han, Zhuo Feng, Yue NingFirst…
Summary of Glisp: a Scalable Gnn Learning System by Exploiting Inherent Structural Properties Of Graphs, By Zhongshu Zhu et al.
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphsby Zhongshu Zhu,…