ECML/PKDD (3)

Keyphrases

Publications

2023

Brigt Arve Toppe Håvardstun, Cèsar Ferri, José Hernández-Orallo, Pekka Parviainen, Jan Arne Telle
XAI with Machine Teaching When Humans Are (Not) Informed About the Irrelevant Features. ECML/PKDD (3) (2023)
An Xu, Yang Bai
Distributed Adaptive Optimization with Divisible Communication. ECML/PKDD (3) (2023)
An Xu, Yang Bai
Cross Model Parallelism for Faster Bidirectional Training of Large Convolutional Neural Networks. ECML/PKDD (3) (2023)
Kentaro Kanamori
Learning Locally Interpretable Rule Ensemble. ECML/PKDD (3) (2023)
Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier
Generating Robust Counterfactual Explanations. ECML/PKDD (3) (2023)
Guixiang Cheng, Xin Yan, Shengxiang Gao, Guangyi Xu, Xianghua Miao
CasSampling: Exploring Efficient Cascade Graph Learning for Popularity Prediction. ECML/PKDD (3) (2023)
Wenlan Kuang, Qiangxi Zhu, Zhixin Li
Multi-label Image Classification with Multi-scale Global-Local Semantic Graph Network. ECML/PKDD (3) (2023)
Sebastian Müller, Vanessa Toborek, Katharina Beckh, Matthias Jakobs, Christian Bauckhage, Pascal Welke
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning. ECML/PKDD (3) (2023)
Shiyun Xu, Zhiqi Bu, Pratik Chaudhari, Ian J. Barnett
Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity. ECML/PKDD (3) (2023)
Liping Yan, Weiren Yu
SimSky: An Accuracy-Aware Algorithm for Single-Source SimRank Search. ECML/PKDD (3) (2023)
Lirong Wu, Cheng Tan, Zihan Liu, Zhangyang Gao, Haitao Lin, Stan Z. Li
Learning to Augment Graph Structure for both Homophily and Heterophily Graphs. ECML/PKDD (3) (2023)
Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. ECML/PKDD (3) (2023)
Abdullah Alchihabi, Yuhong Guo
GDM: Dual Mixup for Graph Classification with Limited Supervision. ECML/PKDD (3) (2023)
Milan Bhan, Jean-Noël Vittaut, Nicolas Chesneau, Marie-Jeanne Lesot
TIGTEC: Token Importance Guided TExt Counterfactuals. ECML/PKDD (3) (2023)
Maximilian Stubbemann, Gerd Stumme
The Mont Blanc of Twitter: Identifying Hierarchies of Outstanding Peaks in Social Networks. ECML/PKDD (3) (2023)
Shaowei Wei, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation. ECML/PKDD (3) (2023)
Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. ECML/PKDD (3) (2023)
Danylo Honcharov, Ahmet Erdem Sariyüce, Ricky Laishram, Sucheta Soundarajan
Skeletal Cores and Graph Resilience. ECML/PKDD (3) (2023)
Caglar Demir, Michel Wiebesiek, Renzhong Lu, Axel-Cyrille Ngonga Ngomo, Stefan Heindorf
LitCQD: Multi-hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals. ECML/PKDD (3) (2023)
Caglar Demir, Axel-Cyrille Ngonga Ngomo
Clifford Embeddings - A Generalized Approach for Embedding in Normed Algebras. ECML/PKDD (3) (2023)
Julia Gastinger, Timo Sztyler, Lokesh Sharma, Anett Schuelke, Heiner Stuckenschmidt
Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting. ECML/PKDD (3) (2023)
Zicheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong
Towards Few-Shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-Guided Neural Process Approach. ECML/PKDD (3) (2023)
Bowen Song, Chengjin Xu, Kossi Amouzouvi, Maocai Wang, Jens Lehmann, Sahar Vahdati
Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs. ECML/PKDD (3) (2023)
Laura Toni, Pascal Frossard
Online Network Source Optimization with Graph-Kernel MAB. ECML/PKDD (3) (2023)
Zhaobo Zhang, Pingpeng Yuan, Hai Jin
Exploring Word-Sememe Graph-Centric Chinese Antonym Detection. ECML/PKDD (3) (2023)
Adrian Horzyk, Daniel Bulanda, Janusz A. Starzyk
Construction and Training of Multi-Associative Graph Networks. ECML/PKDD (3) (2023)
Zuowu Zheng, Chao Wang, Xiaofeng Gao, Guihai Chen
RBNets: A Reinforcement Learning Approach for Learning Bayesian Network Structure. ECML/PKDD (3) (2023)
Giambattista Amati, Antonio Cruciani, Daniele Pasquini, Paola Vocca, Simone Angelini
propagate: A Seed Propagation Framework to Compute Distance-Based Metrics on Very Large Graphs. ECML/PKDD (3) (2023)
Jakir Hossain, Sucheta Soundarajan, Ahmet Erdem Sariyüce
Quantifying Node-Based Core Resilience. ECML/PKDD (3) (2023)
Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang
Two-Stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems. ECML/PKDD (3) (2023)
Wei Zhao, Federico López, J. Maxwell Riestenberg, Michael Strube, Diaaeldin Taha, Steve Trettel
Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices. ECML/PKDD (3) (2023)
Xugang Wu, Huijun Wu, Ruibo Wang, Duanyu Li, Xu Zhou, Kai Lu
Leveraging Free Labels to Power up Heterophilic Graph Learning in Weakly-Supervised Settings: An Empirical Study. ECML/PKDD (3) (2023)
Akshay Sethi, Sonia Gupta, Aakarsh Malhotra, Siddhartha Asthana
Learning Representations for Bipartite Graphs Using Multi-task Self-supervised Learning. ECML/PKDD (3) (2023)
Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning. ECML/PKDD (3) (2023)
Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja
ChiENN: Embracing Molecular Chirality with Graph Neural Networks. ECML/PKDD (3) (2023)
Fereshteh Razmi, Jian Lou, Yuan Hong, Li Xiong
Interpretation Attacks and Defenses on Predictive Models Using Electronic Health Records. ECML/PKDD (3) (2023)
Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta, Vasudeva Varma
Neural Models for Factual Inconsistency Classification with Explanations. ECML/PKDD (3) (2023)
Erik Schultheis, Rohit Babbar
Towards Memory-Efficient Training for Extremely Large Output Spaces - Learning with 670k Labels on a Single Commodity GPU. ECML/PKDD (3) (2023)
Yuting Liang, Wen Bai, Yuncheng Jiang
A Unified Spectral Rotation Framework Using a Fused Similarity Graph. ECML/PKDD (3) (2023)
Susanne Dandl, Giuseppe Casalicchio, Bernd Bischl, Ludwig Bothmann
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations. ECML/PKDD (3) (2023)
Yucheng Shi, Kaixiong Zhou, Ninghao Liu
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning. ECML/PKDD (3) (2023)

volume 14171, 2023

Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III ECML/PKDD (3) 14171 (2023)

volume 13715, 2023

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III ECML/PKDD (3) 13715 (2023)

2022