seminars2020-3Q

-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

http://dl.acm.org/

[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)