-Monday 14:20-16:00
-Thursday 14:20-16:00
Oct. 8(Thu)
Hoang: "Vertex Classification", https://drive.google.com/file/d/1eAu0LQbBHtqDwijV03gbvzOQQ25aLdCz/view?usp=sharing
Enkhbat: "EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks (AAAI 2020)", https://drive.google.com/file/d/1eAu0LQbBHtqDwijV03gbvzOQQ25aLdCz/view?usp=sharing
Oct. 15(Thu)
Matsuno: "Reconstructable graph embedding", https://drive.google.com/file/d/1DHM7TnXE1oDxflXqDjhTmSPOxqLD2qUi/view?usp=sharing
Oct. 19(Mon)
Kaushalya: "Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations (ICML 2020)", https://drive.google.com/file/d/1Ks0yETAQVuagvMwPPiZr5b4zlWWyHJHr/view?usp=sharing
Oct. 22(Thu)
Sunil: "Simple and Deep Graph Convolutional Networks (ICML 2020)", https://drive.google.com/file/d/1e6ADk4uiKQpxoUiEORApdoTWyRV0CP_y/view?usp=sharing
Oct. 26(Mon)
Jodelet: "REMIND Your Neural Network to Prevent Catastrophic Forgetting (ECCV 2020)", https://drive.google.com/file/d/14meqbOTIAdYsmjY1sRSof4Fb8eesfFBl/view?usp=sharing
Alsubaihi: "Multi-task Learning for Influence Estimation and Maximization", https://drive.google.com/file/d/1b3aNTvISilDtLbsSPzpMJhiVc7AwzRYF/view?usp=sharing
Oct. 29(Thu)
Zarina: "Image Decoding from fMRI", https://drive.google.com/file/d/1gFSf4TNYUk5HyhV5AxPdYuSryDt2anlz/view?usp=sharing
Jin: "An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling", https://drive.google.com/file/d/1gZ7AKEFEogDmzt_osPQaLc5W_8MuiWeD/view?usp=sharing
Nov. 5(Thu)
Miyazawa: "Graph Convolutional Network with Time-based Mini-batch for Information Diffusion Prediction", https://drive.google.com/file/d/19QYxn1xI5GazB-IHHySPMhu1QZ8v95O3/view?usp=sharing
Taguchi: "Graph Convolutional Networks for graphs containing missing features", https://drive.google.com/file/d/1xPXhcoBn2XU4v5cUIlxrUdo7SMvNZSDl/view?usp=sharing
Nov. 9(Mon)
Tokunaga: "AdaBelief Optimizer: Adapting Stepsizez by the Belief in Observed Gradients (NeurIPS 2020)", https://drive.google.com/file/d/1gm7d0KbI82I3kqxwKpDqRWuXcCwdUypZ/view?usp=sharing
Nakahara: "Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values (AAAI 2020)", https://drive.google.com/file/d/1_4t0MNAwEr-qG7vFvLH6imm4lB1Zj4K0/view?usp=sharing
Nov. 12(Thu)
Yoshikawa: "Scaling Graph Neural Networks with Approximate PageRank (KDD 2020)", https://drive.google.com/file/d/1hV9ui9nnqFsOvLf6g5jjBSnqOILaGiBQ/view?usp=sharing
Nagamoto: "HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification (KDD 2020)", https://drive.google.com/file/d/1YCyRtqNkch8g9be1jNea2liWz4qq7wdE/view?usp=sharing
Nov. 16(Mon)
Hasegawa: "Score Aggregation Graph Neural Network for Betweenness Centrality Estimation", https://drive.google.com/file/d/1fQJ5eLBKLR0ElsOiGlWh8k8WavI3-bzj/view?usp=sharing
Sase: "N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting (ICLR 2020)", https://drive.google.com/file/d/157KK5geWQrasinJBaKtOY3CjP6F6y1xq/view?usp=sharing
Nov. 19(Thu)
Nuttapong: "Evaluating Attribution for Graph Neural Networks (NeurIPS 2020)", https://drive.google.com/file/d/1UyitKz5RAJ50EwUROK1jXXK_-i66K2F3/view?usp=sharing
-----the following contents are old------
June 29(Mon)
Hoang: "Graph Homomorphism", https://drive.google.com/file/d/1ti1pl6E-vfM31XaHjC4x5MPR1VB7QHP1/view?usp=sharing
Enkhbat: "Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection (ICDM 2019)", https://drive.google.com/file/d/1LyTiHGi9dk5UgiQrSKWX__N_GJX88_95/view?usp=sharing
July 2(Thu)
Kaushalya: "Neural Bandits", https://drive.google.com/file/d/1KUn4o5ZALYxr5-Q3URJh6Cj_0T7J8j06/view?usp=sharing
Matsuno: "Lossless graph embedding", https://drive.google.com/file/d/1yyFBK-kLEl0tJiHidaU0U3bITui7Ltoi/view?usp=sharing
July 6(Mon)
Zarina: "GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR 2020)", https://drive.google.com/file/d/1WjynC9ez1SzDEnzv0RaY5Oaakc2RPbjj/view?usp=sharing
July 9(Thu)
Nuttapong: "GPT-GNN: Generative Pre-Training of Graph Neural Networks (KDD'20)", https://drive.google.com/file/d/16yjqUcoeLeI83YcrI1kVt3Nyg0fRNdgx/view?usp=sharing
Sunil: "What Graph Neural Networks Cannot Learn: Depth vs Width (ICLR 2020)", https://drive.google.com/file/d/1-zwImubw_QC-UUNHHyJ08TgLz1ClXldY/view?usp=sharing
July 13(Mon)
Jodelet: "Presentation of the challenge of the CVPR workshop on continual learning in computer vision", https://drive.google.com/file/d/1MMKcasZKZwsjprR_IiQ-DME9It16q0Zc/view?usp=sharing
Alsubaihi: "Influence Maximization Using Influence and Susceptibility Embeddings (ICWSM 2020)", https://drive.google.com/file/d/1l25SNezRB6GPDbUnyEXTDopkeKQyEwsb/view?usp=sharing
July 16(Thu)
Jin: "Predicting Emergency Medical Service Demand with Bipartite Graph Convolutional Networks", https://drive.google.com/file/d/1DiiI0jicLFHjxGeabHBmbvLxnHRRoMsm/view?usp=sharing
Oleksii: "Online Influence Maximization in Temporal Networks", https://drive.google.com/file/d/1xuaWYkEN21oZusE6YjgZGJg3ctkbuZ58/view?usp=sharing
July 20(Mon)
Miyazawa: "Information Diffusion Prediction with Graph Neural Network", https://drive.google.com/file/d/1Cx4JSDvP2OxjtdsYevsqBsxIfKGzZUD_/view?usp=sharing
Taguchi: "Graph Convolutional Networks for graphs containing missing features", https://drive.google.com/file/d/1sM7093EHoRAWdnwosuhAk6Qs-FhImGjF/view?usp=sharing
July 23(Thu)
Nakahara: "A New Attention Mechanism to Classify Multivariate Time Series (IJCAI 2020)", https://drive.google.com/file/d/1qPwKcqcEW-DeteqFPv0nUxiibPRnf9VW/view?usp=sharing
Tokunaga: "RCPaste: Random Crop Paste Image Data Augmentation", https://drive.google.com/file/d/1Xn_jil_Hs5oxmQKWOLwwcVR3iDsGh3hf/view?usp=sharing
July 27(Mon)
Nagamoto: "Curvature Graph Network (ICLR 2020)", https://drive.google.com/file/d/1d_vsq7NMld_F9IVlI_XsjfLljeV-m1NI/view?usp=sharing
Enkhbat: "Brain-mediated Transfer Learning of Convolutional Neural Networks (AAAI 2020)", https://drive.google.com/file/d/1sn333X2PhkNMBr-ZCitS4UFxJfPZy8cL/view?usp=sharing
Yoshikawa: "SNEQ: Semi-supervised Attributed Network Embedding with Attention-based Quantisation (AAAI 2020)", https://drive.google.com/file/d/1VWFHOa9HYKTZf-O610QBRbsSHYsXroCc/view?usp=sharing
<questionnaire>
We would like to have the first meeting at 15:25 on Apr. 3(Fri).
We would like to decide the schedule of our seminars (2020 1Q).
We will use zoom for our seminars this year.
Please check the following site, and fill in your preference to the
questionnaire. Based on this, we will decide the schedule on Apr. 3(Fri).
https://densuke.biz/list?cd=5z9rVJ9MXR4xsRr2
Timetables of the lectures of Tokyo Tech are available in the following site.
<lectures for graduate students>
http://www.titech.ac.jp/english/enrolled/life/graduate_timetables.html
(written in English)
http://www.titech.ac.jp/enrolled/life/graduate_timetables.html
(written in Japanese)
<lectures for undergraduate students>
http://www.titech.ac.jp/enrolled/life/undergraduate_timetables.html
(written in Japanese)
The following is the schedule of the last quarter.
-Tuesday 16:50-18:20 all members reading papers or discussion about your research
-Thursday 9:00-10:30 all members reading papers or discussion about your research
If you are not available on the time of our seminar, please let me know as
soon as possible. Please take a look at a time table of the classes
and the academic calendar of Tokyo Tech at the following site.
<lectures for graduate students>
http://www.titech.ac.jp/english/enrolled/life/graduate_timetables.html
(written in English)
http://www.titech.ac.jp/enrolled/life/graduate_timetables.html
(written in Japanese)
<lectures for undergraduate students>
http://www.titech.ac.jp/enrolled/life/undergraduate_timetables.html
(written in Japanese)
<academic calendar of Tokyo Tech>
https://www.titech.ac.jp/english/enrolled/life/schedules/2018.html
(written in English)
https://www.titech.ac.jp/enrolled/life/schedules/2018.html
(written in Japanese)
I suggest you to read the following papers for your talk on Tuesday seminar.
[AAAI]
http://www.aaai.org/Library/AAAI/aaai18contents.php
http://www.aaai.org/Library/AAAI/aaai17contents.php
http://www.aaai.org/Library/AAAI/aaai16contents.php
http://www.aaai.org/Library/AAAI/aaai15contents.php
[WWW]
http://www2016.net/proceedings/forms/proceedings.htm
http://www.www2015.it/documents/proceedings/
[ICWSM]
http://www.aaai.org/Library/ICWSM/icwsm16contents.php
http://www.aaai.org/Library/ICWSM/icwsm15contents.php
[WSDM]
http://www.wsdm-conference.org/2016/proceedings.html
http://dl.acm.org/citation.cfm?id=2684822&picked=prox
[KDD]
find paper title here
http://www.kdd.org/kdd2016/program/accepted-papers
http://www.kdd.org/kdd2015/program.html
download from ACM digital library
[ICDM]
find paper title here
http://icdm2016.eurecat.org/list-of-accepted-papers/
http://icdm2015.stonybrook.edu/program/accepted-papers
http://icdm2014.sfu.ca/program_accepted_papers.html
download from IEEE digital library
http://ieeexplore.ieee.org/Xplore/home.jsp
[IJCAI]
http://ijcai.org/proceedings/2016
http://ijcai.org/proceedings/2015
Friday(13:30-15:10)
Friday(10:45-12:15)