Media Summary: Chenhao Wang, University of Electronic Science and Technology China. Zhongzheng Qiao, Nanyang Technological University. Robin Münk Expander decompositions have recently lead to important new results in the study of classical theoretical graph ...

Kdd2024 Scalable Algorithm For Finding - Detailed Analysis & Overview

Chenhao Wang, University of Electronic Science and Technology China. Zhongzheng Qiao, Nanyang Technological University. Robin Münk Expander decompositions have recently lead to important new results in the study of classical theoretical graph ... Ziniu Hu, xAI Large Language Model Day Keynote Abstract: This talk focuses on how to enhance Large Language Model ... The presentation of the paper "CAFO: Feature-Centric Explanation on Time Series Classification" In the 30th SIGKDD Conference ...

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KDD2024 - Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks
KDD 2024 - An Efficient Local Search Algorithm
KDD 2024 | A Fast Exact Algorithm to Enumerate Maximal Pseudo-cliques | Ahsanur Rahman
KDD 2024 - Scalable Multitask Learning
KDD 2024 - Multi Scale Detection of Anomalous Temporal Trajectories
KDD 2024 - Class incremental Learning
kdd 2024 - Federated Graph Learning with Structure Proxy Alignment
KDD2024 - Expander Hierarchies for Normalized Cuts on Graphs
KDD 2024 - NeuroCUT: A neural approach for robust graph partitioning
KDD2024 - Enhancing Reasoning of Large Language Models through Reward-Guided Search and SelfTraining
KDD 2024 - MacroHFT Memory Augmented
KDD 2024 - Large Scale Generetive AI
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KDD2024 - Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks

KDD2024 - Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks

Jingbang Chen, University of Waterloo.

KDD 2024 - An Efficient Local Search Algorithm

KDD 2024 - An Efficient Local Search Algorithm

Xiang He, ISCAS.

KDD 2024 | A Fast Exact Algorithm to Enumerate Maximal Pseudo-cliques | Ahsanur Rahman

KDD 2024 | A Fast Exact Algorithm to Enumerate Maximal Pseudo-cliques | Ahsanur Rahman

Paper Title: A Fast Exact

KDD 2024 - Scalable Multitask Learning

KDD 2024 - Scalable Multitask Learning

Dongyue Li, Northeastern University.

KDD 2024 - Multi Scale Detection of Anomalous Temporal Trajectories

KDD 2024 - Multi Scale Detection of Anomalous Temporal Trajectories

Chenhao Wang, University of Electronic Science and Technology China.

KDD 2024 - Class incremental Learning

KDD 2024 - Class incremental Learning

Zhongzheng Qiao, Nanyang Technological University.

kdd 2024 - Federated Graph Learning with Structure Proxy Alignment

kdd 2024 - Federated Graph Learning with Structure Proxy Alignment

Xingbo Fu, University of Virginia.

KDD2024 - Expander Hierarchies for Normalized Cuts on Graphs

KDD2024 - Expander Hierarchies for Normalized Cuts on Graphs

Robin Münk Expander decompositions have recently lead to important new results in the study of classical theoretical graph ...

KDD 2024 - NeuroCUT: A neural approach for robust graph partitioning

KDD 2024 - NeuroCUT: A neural approach for robust graph partitioning

Rishi Shah, IIT Delhi.

KDD2024 - Enhancing Reasoning of Large Language Models through Reward-Guided Search and SelfTraining

KDD2024 - Enhancing Reasoning of Large Language Models through Reward-Guided Search and SelfTraining

Ziniu Hu, xAI Large Language Model Day Keynote Abstract: This talk focuses on how to enhance Large Language Model ...

KDD 2024 - MacroHFT Memory Augmented

KDD 2024 - MacroHFT Memory Augmented

Chuqiao Zong.

KDD 2024 - Large Scale Generetive AI

KDD 2024 - Large Scale Generetive AI

Aaron Baughman, IBM.

[KDD 2024] CAFO: Feature-Centric Explanation on Time Series Classification

[KDD 2024] CAFO: Feature-Centric Explanation on Time Series Classification

The presentation of the paper "CAFO: Feature-Centric Explanation on Time Series Classification" In the 30th SIGKDD Conference ...