WWW / The Web Conference

Scaling R-GCN Training with Graph Summarization

Alessandro Generale, Till Blume, Michael Cochez

Comments Companion Proceedings of the Web Conference 2022, April 25-29, 2022

Optimal Collaterals in Multi-Enterprise Investment Networks

Moshe Babaioff, Yoav Kolumbus, Eyal Winter

Comments Published in Proceedings of the ACM Web Conference 2022 (WWW'22). https://doi.org/10.1145/3485447.3512053

Web Mining to Inform Locations of Charging Stations for Electric Vehicles

Philipp Hummler, Christof Naumzik, Stefan Feuerriegel

Comments Accepted at The Web Conference (WWW 2022)

JSRehab: Weaning Common Web Interface Components from JavaScript Addiction

Romain Fouquet, Pierre Laperdrix, Romain Rouvoy

Comments WWW '22 Companion, May 2022, Lyon, France

GRAND+: Scalable Graph Random Neural Networks

Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang

Comments 11 pages, WWW 2022

Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection

Mehwish Alam, Andreea Iana, Alexander Grote, Katharina Ludwig, Philipp Müller, Heiko Paulheim

Comments Accepted at the 2nd International Workshop on Knowledge Graphs for Online Discourse Analysis (KnOD 2022) collocated with The Web Conference 2022 (WWW'22), 25-29 April 2022, Lyon, France

Anonymous Hyperlocal Communities: What do they talk about?

Jens Helge Reelfs, Oliver Hohlfeld, Niklas Henckell

Comments Accepted submission to the 12th International Workshop on Location and the Web (LocWeb'22). To appear in WWW'22 Companion proceedings; 9 pages, 5 figures, 3 tables

EvoLearner: Learning Description Logics with Evolutionary Algorithms

Stefan Heindorf, Lukas Blübaum, Nick Düsterhus, Till Werner, Varun Nandkumar Golani, Caglar Demir, Axel-Cyrille Ngonga Ngomo

Comments Accepted at WWW 2022

QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings

Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen, Dinh Phung

Comments Accepted to The ACM Web Conference 2022 (WWW '22) (Poster and Demo Track)

Universal Graph Transformer Self-Attention Networks

Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung

Comments Accepted to The ACM Web Conference 2022 (WWW '22) (Poster and Demo Track)

Deep Partial Multiplex Network Embedding

Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu

Comments Accepted to WWW 2022 GL workshop

Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models

Weiqi Sun, Haidar Khan, Nicolas Guenon des Mesnards, Melanie Rubino, Konstantine Arkoudas

Comments 9 pages, 4 figures, submitted to the ACM Web Conference 2022 (WWW '22) and accepted as a full-length research track paper. To be published in the proceedings and ACM Digital Library

MemStream: Memory-Based Streaming Anomaly Detection

Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi

Comments The Web Conference (WWW), 2022

Curvature Graph Generative Adversarial Networks

Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng

Comments Accepted by Web Conference (WWW) 2022

SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs

Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang

Comments Proceedings of the Web Conference 2022

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval

Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie

Comments Accepted as a full paper in WWW 2022

Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning

Euna Jung, Jaekeol Choi, Wonjong Rhee

Comments 10 pages, 4 figures

Journal ref WWW 2022 (Proceedings of the ACM Web Conference 2022)

ONBRA: Rigorous Estimation of the Temporal Betweenness Centrality in Temporal Networks

Diego Santoro, Ilie Sarpe

Comments Accepted at TheWebConf 2022 (WWW '22)

Filter-enhanced MLP is All You Need for Sequential Recommendation

Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen

Comments 12 pages, Accepted by WWW 2022

RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network

Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong

Comments WWW'22

Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering

SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu

Comments The Web Conference (WWW) 2022, 11 pages

Disentangling Long and Short-Term Interests for Recommendation

Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li

Comments Accepted by WWW'22

CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting

Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

Comments 16 pages, 4 figures. Accepted at WWW 2022

Exploring Edge Disentanglement for Node Classification

Tianxiang Zhao, Xiang Zhang, Suhang Wang

Comments Accepted to The Web Conference (WWW) 2022

Model-Agnostic Augmentation for Accurate Graph Classification

Jaemin Yoo, Sooyeon Shim, U Kang

Comments Accepted to The Web Conference (WWW) 2022

Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation

Qijie Shen, Hong Wen, Wanjie Tao, Jing Zhang, Fuyu Lv, Zulong Chen, Zhao Li

Comments Accepted by WWW 2022

Listing Maximal k-Plexes in Large Real-World Graphs

Zhengren Wang, Yi Zhou, Mingyu Xiao, Bakhadyr Khoussainov

Comments WWW'2022

ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification

Xinjie Lin, Gang Xiong, Gaopeng Gou, Zhen Li, Junzheng Shi, Jing Yu

Comments This work has been accepted in Security, Privacy, and Trust track at The Web Conference 2022 (WWW'22)(see https://www2022.thewebconf.org/cfp/research/security/)

Regulatory Instruments for Fair Personalized Pricing

Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu

Comments WWW 2022

EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks

Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li

Comments Published at The Web Conference 2022 (WWW 2022)