International Workshop on Large Scale Graph Representation Learning and Applications
- Submission deadline: August 7, 2018
- Acceptance notification: September 4, 2018
- Camera-ready deadline and copyright forms: September 15, 2018
- Conference dates: November 17, 2018
The theme of this workshop focuses on graph representation learning and its large-scale applications. Topics of interest include, but not limited to:
- Graph Embedding Methods
- Graph embedding under various inputs, such as homogeneous vs. heterogeneous graphs, static vs. dynamic graphs, original vs. attributed graphs;
- Graph embedding under various outputs, such as node embedding, edge embedding, community embedding, subgraph embedding;
- Deep learning on graphs, such as graph auto-encoder, graph convolution, deep graph kernels;
- Probabilistic graph inference algorithms, especially when coupled with graph embedding (e.g., embedding propagation);
- Graph embedding with explainability;
- Integration of graph embedding models with structured prediction problems and probabilistic graphical models;
- Graph Construction and Processing Algorithms
- Graph construction from noisy machine logs, text and social data;
- Knowledge graph construction, representation and inference;
- Frequent subgraph pattern mining and instance matching;
- Graph sampling and summarization;
- Large-scale Graph-based Applications
- Network user profiling;
- Network user relation profiling;
- Network link prediction;
- Semantic proximity search;
- Network community detection and profiling;
- Network information diffusion and influence maximization;
- Graph-based recommendation;
- Implementation of Large-scale Graph Embedding Systems
- Graph databases;
- Distributed graph embedding and inference designs;
- Case studies of real-world applications;
- Papers including research results, position papers, and practice and experience reports, up to a maximum of four (4) pages, in the IEEE 2-column format, including bibliography and appendices.
- Demo proposals describing a prototype of system, up to a maximum of two (2) pages, in the IEEE 2-column format, including bibliography and appendices.
- Online paper submission site is ICDM-GRLA2018.
- Review process
- All submissions will be single-blind reviewed by the Program Committee on the basis of technical quality, relevance to scope of the conference, originality, significance, and clarity.
- All submissions should clearly present the author information including the names of the authors, the affiliations and the emails.
- Accepted papers
- Accepted papers will be included into workshop proceedings.
- At least one author of each accepted paper is required to register for the ICDM 2018 conference and present their work at the workshop.
- Wei Lu (Singapore University of Technology and Design, Singapore)
- Vincent W. Zheng (Advanced Digital Sciences Center, Singapore)
- Zhao Li (Alibaba Group, China)
- Hongxia Yang (Alibaba Group, China)
- Jianzong Wang (Ping An Technology, China)
- Shaosheng Cao (Ant Financial, China)
- Yuan Fang (DBS Bank, Singapore)
- Yuchen Li (Singapore Management University, Singapore)
- Zhou Zhao (Zhejiang University, China)
- Chuan Shi (Beijing Post and Telecommunications University, China)
- Erik Cambria (Nanyang Technological University, Singapore)
- Yu Lu (Beijing Normal University, China)
- Defu Lian (University of Electronic Science and Technology of China, China)
- Min Wu (A*STAR, Singapore)
- Xiang Ren (University of South California)
- Qiongkai Xu (Australian National University, Australia)
- Chuan-Ju Wang (Academia Sinica, Taiwan)
- Ming-Feng Tsai (National Chengchi Unviersiyt, Taiwan)