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会议文集
文集名
Advances in Knowledge Discovery and Data Mining
会议名
27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2023)
中译名
《第二十七届亚太地区知识发现与数据挖掘会议,卷2》
会议日期
May 25-28, 2023
会议地点
Osaka, Japan
出版年
2023
馆藏号
349231
题名
作者
出版年
Improving Knowledge Graph Entity Alignment with Graph Augmentation
Feng Xie; Xiang Zeng; Bin Zhou; Yusong Tan
2023
MixER: MLP-Mixer Knowledge Graph Embedding for Capturing Rich Entity-Relation Interactions in Link Prediction
Thanh Le; An Pham; Tho Chung; Truong Nguyen; Tuan Nguyen; Bac Le
2023
GTEA: Inductive Representation Learning on Temporal Interaction Graphs via Temporal Edge Aggregation
Siyue Xie; Yiming Li; Da Sun Handason Tam; Xiaxin Liu; Qiufang Ying; Wing Cheong Lau; Dah Ming Chiu; Shouzhi Chen
2023
You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network
Huaisheng Zhu; Xianfeng Tang; TianXiang Zhao; Suhang Wang
2023
UPGAT: Uncertainty-Aware Pseudo-neighbor Augmented Knowledge Graph Attention Network
Yen-Ching Tseng; Zu-Mu Chen; Mi-Yen Yeh; Shou-De Lin
2023
Mining Frequent Sequential Subgraph Evolutions in Dynamic Attributed Graphs
Zhi Cheng; Landy Andriamampianina; Franck Ravat; Jiefu Song; Nathalie Valles-Parlangeau; Philippe Fournier-Viger; Nazha Selmaoui-Folcher
2023
CondTraj-GAN: Conditional Sequential GAN for Generating Synthetic Vehicle Trajectories
Nils Henke; Shimon Wonsak; Prasenjit Mitra; Michael Nolting; Nicolas Tempelmeier
2023
A Graph Contrastive Learning Framework with Adaptive Augmentation and Encoding for Unaligned Views
Yifu Guo; Yong Liu
2023
MPool: Motif-Based Graph Pooling
Muhammad Ifte Khairul Islam; Max Khanov; Esra Akbas
2023
Anti-Money Laundering in Cryptocurrency via Multi-Relational Graph Neural Network
Woochang Hyun; Jaehong Lee; Bongwon Suh
2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows
Tri Dung Duong; Qian Li; Guandong Xu
2023
Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out
Zidi Xiu; Kai-Chen Cheng; David Q. Sun; Jiannan Lu; Hadas Kotek; Yuhan Zhang; Paul McCarthy; Christopher Klein; Stephen Pulman; Jason D. Williams
2023
Toward Interpretable Machine Learning: Constructing Polynomial Models Based on Feature Interaction Trees
Jisoo Jang; Mina Kim; Tien-Cuong Bui; Wen-Syan Li
2023
BioSequence2Vec: Efficient Embedding Generation for Biological Sequences
Sarwan Ali; Usama Sardar; Murray Patterson; Imdad Ullah Khan
2023
Relations Between Adjacency and Modularity Graph Partitioning
Hansi Jiang; Carl Meyer
2023
Bayesian Optimization over Mixed Type Inputs with Encoding Methods
Zhihao Liu; Weiming Ou; Songhao Wang
2023
Using Flexible Memories to Reduce Catastrophic Forgetting
Wernsen Wong; Yun Sing Koh; Gillian Dobbie
2023
Fair Healthcare Rationing to Maximize Dynamic Utilities
Aadityan Ganesh; Pratik Ghosal; Vishwa Prakash HV; Prajakta Nimbhorkar
2023
A Multi-player MAB Approach for Distributed Selection Problems
Jinyu Mo; Hong Xie
2023
A Thompson Sampling Approach to Unifying Causal Inference and Bandit Learning
Hanxuan Xu; Hong Xie
2023
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