- |
+ visibility_off |
First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models |
Yifan Qu, O. Krzysik, H. Sterck, Omer Ege Kara
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diff --git a/docs/recommendations/90cc86274f947b15ec3cc8c1dcfe1fc8db608e03.md b/docs/recommendations/90cc86274f947b15ec3cc8c1dcfe1fc8db608e03.md
index e8a91aa9..0622d50e 100644
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+++ b/docs/recommendations/90cc86274f947b15ec3cc8c1dcfe1fc8db608e03.md
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index 29e1659d..f338849b 100644
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+++ b/docs/recommendations/95eee51c1cb1771e96cd182f47c90a7877461530.md
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Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals |
Tingting Dan, Jiaqi Ding, Ziquan Wei, S. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu
@@ -55,7 +55,7 @@ hide:
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DeepGRAND: Deep Graph Neural Diffusion |
Khang Nguyen, Hieu Nong, Khuong Nguyen, Tan M. Nguyen, Vinh Nguyen
@@ -67,7 +67,7 @@ hide:
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TIDE: Time Derivative Diffusion for Deep Learning on Graphs |
Maximilian Krahn, M. Behmanesh, M. Ovsjanikov
@@ -79,7 +79,7 @@ hide:
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On the Robustness of Graph Neural Diffusion to Topology Perturbations |
Yang Song, Qiyu Kang, Sijie Wang, Zhao Kai, Wee Peng Tay
@@ -91,7 +91,7 @@ hide:
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A Fractional Graph Laplacian Approach to Oversmoothing |
Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok
@@ -103,7 +103,7 @@ hide:
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Beltrami Flow and Neural Diffusion on Graphs |
B. Chamberlain, J. Rowbottom, D. Eynard, Francesco Di Giovanni, Xiaowen Dong, M. Bronstein
@@ -115,7 +115,7 @@ hide:
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Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-Smoothing |
Guoji Fu, Mohammed Haroon Dupty, Yanfei Dong, Lee Wee Sun
@@ -127,7 +127,7 @@ hide:
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Adaptive Graph Diffusion Networks |
Chuxiong Sun, Jie Hu, Hongming Gu, Jinpeng Chen, Mingchuan Yang
@@ -222,13 +222,27 @@ var dataTableOptions = {
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diff --git a/docs/recommendations/979c112d5ed2f7653990a3591cdfccfad0dc27fd.md b/docs/recommendations/979c112d5ed2f7653990a3591cdfccfad0dc27fd.md
index fb67294d..72f7d896 100644
--- a/docs/recommendations/979c112d5ed2f7653990a3591cdfccfad0dc27fd.md
+++ b/docs/recommendations/979c112d5ed2f7653990a3591cdfccfad0dc27fd.md
@@ -11,7 +11,7 @@ hide:
-
+
@@ -49,7 +49,7 @@ hide:
Samuel Pfrommer, Mathew Halm, Michael Posa
|
2020-09-23 |
- ArXiv, MAG, DBLP |
+ ArXiv, DBLP, MAG |
63 |
17 |
@@ -231,4 +231,16 @@ var dataTableOptions = {
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diff --git a/docs/recommendations/9e20f6874feaaf7c9994f9875b1d9cab17a2fd59.md b/docs/recommendations/9e20f6874feaaf7c9994f9875b1d9cab17a2fd59.md
index b3ded372..c8adbdff 100644
--- a/docs/recommendations/9e20f6874feaaf7c9994f9875b1d9cab17a2fd59.md
+++ b/docs/recommendations/9e20f6874feaaf7c9994f9875b1d9cab17a2fd59.md
@@ -11,7 +11,7 @@ hide:
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@@ -243,4 +243,16 @@ var dataTableOptions = {
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diff --git a/docs/recommendations/a50a2a191c98dfe045ac2139495ee80ff1338e47.md b/docs/recommendations/a50a2a191c98dfe045ac2139495ee80ff1338e47.md
index 831fe1c2..dd6be8d8 100644
--- a/docs/recommendations/a50a2a191c98dfe045ac2139495ee80ff1338e47.md
+++ b/docs/recommendations/a50a2a191c98dfe045ac2139495ee80ff1338e47.md
@@ -11,7 +11,7 @@ hide:
-
+
@@ -43,7 +43,7 @@ hide:
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+ visibility_off |
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach |
Tuan Nguyen, Tan M. Nguyen, Hirotada Honda, Takashi Sano, Vinh Nguyen, Shugo Nakamura
@@ -55,7 +55,7 @@ hide:
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- |
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Neural ordinary differential equation control of dynamics on graphs |
Thomas Asikis, L. Böttcher, Nino Antulov-Fantulin
@@ -67,7 +67,7 @@ hide:
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- |
+ visibility_off |
Graph Neural Ordinary Differential Equations |
Michael Poli, Stefano Massaroli, Junyoung Park, A. Yamashita, H. Asama, Jinkyoo Park
@@ -79,7 +79,7 @@ hide:
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- |
+ visibility_off |
Reversible and irreversible bracket-based dynamics for deep graph neural networks |
A. Gruber, Kookjin Lee, N. Trask
@@ -91,7 +91,7 @@ hide:
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- |
+ visibility_off |
Continuous Spiking Graph Neural Networks |
Nan Yin, Mengzhu Wang, Li Shen, Hitesh Laxmichand Patel, Baopu Li, Bin Gu, Huan Xiong
@@ -103,7 +103,7 @@ hide:
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- |
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PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations |
Moshe Eliasof, E. Haber, Eran Treister
@@ -115,7 +115,7 @@ hide:
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- |
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First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models |
Yifan Qu, O. Krzysik, H. Sterck, Omer Ege Kara
@@ -127,7 +127,7 @@ hide:
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- |
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Anti-Symmetric DGN: a stable architecture for Deep Graph Networks |
Alessio Gravina, D. Bacciu, C. Gallicchio
@@ -139,7 +139,7 @@ hide:
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- |
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On Asymptotic Behaviors of Graph CNNs from Dynamical Systems Perspective |
Kenta Oono, Taiji Suzuki
@@ -151,7 +151,7 @@ hide:
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Demystifying Oversmoothing in Attention-Based Graph Neural Networks |
Xinyi Wu, A. Ajorlou, Zihui Wu, A. Jadbabaie
@@ -246,13 +246,27 @@ var dataTableOptions = {
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diff --git a/docs/recommendations/ae42c0cff384495683192b06bd985cdd7a54632a.md b/docs/recommendations/ae42c0cff384495683192b06bd985cdd7a54632a.md
index 9090bf91..7136749a 100644
--- a/docs/recommendations/ae42c0cff384495683192b06bd985cdd7a54632a.md
+++ b/docs/recommendations/ae42c0cff384495683192b06bd985cdd7a54632a.md
@@ -11,7 +11,7 @@ hide:
-
+
@@ -85,7 +85,7 @@ hide:
Alvaro Sanchez-Gonzalez, N. Heess, J. T. Springenberg, J. Merel, Martin A. Riedmiller, R. Hadsell, P. Battaglia
|
2018-06-04 |
- ArXiv, MAG, DBLP |
+ ArXiv, DBLP, MAG |
539 |
61 |
@@ -97,7 +97,7 @@ hide:
Karolis Martinkus, Aurélien Lucchi, Nathanael Perraudin
2020-10-14 |
- ArXiv, MAG, DBLP |
+ ArXiv, DBLP, MAG |
10 |
39 |
@@ -243,4 +243,16 @@ var dataTableOptions = {
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diff --git a/docs/recommendations/af84c6db6b5c41ca628867ff4a27566e9ca3c69e.md b/docs/recommendations/af84c6db6b5c41ca628867ff4a27566e9ca3c69e.md
index 832e4b37..5c3b8dc6 100644
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+++ b/docs/recommendations/af84c6db6b5c41ca628867ff4a27566e9ca3c69e.md
@@ -11,7 +11,7 @@ hide:
-
+
@@ -43,7 +43,7 @@ hide:
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+ visibility_off |
GRAND: Graph Neural Diffusion |
B. Chamberlain, J. Rowbottom, Maria I. Gorinova, Stefan Webb, Emanuele Rossi, M. Bronstein
@@ -55,7 +55,7 @@ hide:
|
- |
+ visibility_off |
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs |
M. Hanik, Gabriele Steidl, C. V. Tycowicz
@@ -67,7 +67,7 @@ hide:
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- |
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Rewiring Networks for Graph Neural Network Training Using Discrete Geometry |
Jakub Bober, Anthea Monod, Emil Saucan, K. Webster
@@ -79,7 +79,7 @@ hide:
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- |
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On the Robustness of Graph Neural Diffusion to Topology Perturbations |
Yang Song, Qiyu Kang, Sijie Wang, Zhao Kai, Wee Peng Tay
@@ -91,7 +91,7 @@ hide:
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- |
+ visibility_off |
TIDE: Time Derivative Diffusion for Deep Learning on Graphs |
Maximilian Krahn, M. Behmanesh, M. Ovsjanikov
@@ -103,7 +103,7 @@ hide:
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- |
+ visibility_off |
Continuous Graph Neural Networks |
Louis-Pascal Xhonneux, Meng Qu, Jian Tang
@@ -115,7 +115,7 @@ hide:
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ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks |
Yuelin Wang, Kai Yi, Xinliang Liu, Yu Guang Wang, Shi Jin
@@ -127,7 +127,7 @@ hide:
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- |
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Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals |
Tingting Dan, Jiaqi Ding, Ziquan Wei, S. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu
@@ -139,7 +139,7 @@ hide:
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From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond |
Andi Han, Dai Shi, Lequan Lin, Junbin Gao
@@ -234,13 +234,27 @@ var dataTableOptions = {
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diff --git a/docs/recommendations/b8db0d2a39ca356abe63a8eabbc5ed9c868f5907.md b/docs/recommendations/b8db0d2a39ca356abe63a8eabbc5ed9c868f5907.md
index 5405bb45..a09670a6 100644
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@@ -11,7 +11,7 @@ hide:
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@@ -43,7 +43,7 @@ hide:
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Implicit regularization of deep residual networks towards neural ODEs |
P. Marion, Yu-Han Wu, Michael E. Sander, G'erard Biau
@@ -55,7 +55,7 @@ hide:
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- |
+ visibility_off |
Differential Equations for Continuous-Time Deep Learning |
Lars Ruthotto
@@ -67,7 +67,7 @@ hide:
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- |
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Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations |
D. Martinelli, C. Galimberti, I. Manchester, Luca Furieri, Giancarlo Ferrari-Trecate
@@ -79,7 +79,7 @@ hide:
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Augmented Neural ODEs |
Emilien Dupont, A. Doucet, Y. Teh
@@ -91,7 +91,7 @@ hide:
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+ visibility_off |
Review: Ordinary Differential Equations For Deep Learning |
Xinshi Chen
@@ -103,7 +103,7 @@ hide:
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Stable architectures for deep neural networks |
E. Haber, Lars Ruthotto
@@ -115,7 +115,7 @@ hide:
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Learning ODEs via Diffeomorphisms for Fast and Robust Integration |
Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos
@@ -127,7 +127,7 @@ hide:
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Time Dependence in Non-Autonomous Neural ODEs |
Jared Davis, K. Choromanski, Jacob Varley, Honglak Lee, J. Slotine, Valerii Likhosterov, Adrian Weller, A. Makadia, Vikas Sindhwani
@@ -139,7 +139,7 @@ hide:
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Neural Ordinary Differential Equations |
T. Chen, Yulia Rubanova, J. Bettencourt, D. Duvenaud
@@ -234,13 +234,27 @@ var dataTableOptions = {
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var content = ' Abstract: ' + rowId + ' ';
row.child(content).show();
tr.addClass('shown');
+ tr.find('td:first-child').html('visibility');
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});
+
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diff --git a/docs/recommendations/b921efbb226fe2618ec160563a2bcb5999c7c28f.md b/docs/recommendations/b921efbb226fe2618ec160563a2bcb5999c7c28f.md
index eababb6b..575c299f 100644
--- a/docs/recommendations/b921efbb226fe2618ec160563a2bcb5999c7c28f.md
+++ b/docs/recommendations/b921efbb226fe2618ec160563a2bcb5999c7c28f.md
@@ -11,7 +11,7 @@ hide:
-
+
@@ -61,7 +61,7 @@ hide:
Andreas Mardt, Luca Pasquali, Frank No'e, Hao Wu
|
2019-12-16 |
- ArXiv, MAG, DBLP |
+ ArXiv, DBLP, MAG |
25 |
22 |
@@ -231,4 +231,16 @@ var dataTableOptions = {
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diff --git a/docs/recommendations/be8d39424a9010bfc0805385cc91edee383c2e24.md b/docs/recommendations/be8d39424a9010bfc0805385cc91edee383c2e24.md
index 4dd05823..346b547c 100644
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+++ b/docs/recommendations/be8d39424a9010bfc0805385cc91edee383c2e24.md
@@ -11,7 +11,7 @@ hide:
-
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@@ -43,7 +43,7 @@ hide:
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Better Neural PDE Solvers Through Data-Free Mesh Movers |
Peiyan Hu, Yue Wang, Zhi-Ming Ma
@@ -55,7 +55,7 @@ hide:
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Connections Between Numerical Algorithms for PDEs and Neural Networks |
Tobias Alt, K. Schrader, M. Augustin, Pascal Peter, J. Weickert
@@ -67,7 +67,7 @@ hide:
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Translating Numerical Concepts for PDEs into Neural Architectures |
Tobias Alt, Pascal Peter, J. Weickert, K. Schrader
@@ -79,7 +79,7 @@ hide:
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ResNet After All? Neural ODEs and Their Numerical Solution |
Katharina Ott, P. Katiyar, Philipp Hennig, M. Tiemann
@@ -91,7 +91,7 @@ hide:
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Learning time-dependent PDE solver using Message Passing Graph Neural Networks |
P. Pilva, A. Zareei
@@ -103,7 +103,7 @@ hide:
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Efficient Neural PDE-Solvers using Quantization Aware Training |
W.V.S.O. van den Dool, Tijmen Blankevoort, M. Welling, Yuki M. Asano
@@ -115,7 +115,7 @@ hide:
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DiscretizationNet: A Machine-Learning based solver for Navier-Stokes Equations using Finite Volume Discretization |
Rishikesh Ranade, C. Hill, Jay Pathak
@@ -127,7 +127,7 @@ hide:
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Sampling-based Distributed Training with Message Passing Neural Network |
P. Kakka, S. Nidhan, Rishikesh Ranade, J. MacArt
@@ -139,7 +139,7 @@ hide:
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Enhancing Neural Network Differential Equation Solvers |
Matthew J. H. Wright
@@ -234,13 +234,27 @@ var dataTableOptions = {
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diff --git a/docs/recommendations/c529f5b08675f787cdcc094ee495239592339f82.md b/docs/recommendations/c529f5b08675f787cdcc094ee495239592339f82.md
index a96c6b5c..c401633f 100644
--- a/docs/recommendations/c529f5b08675f787cdcc094ee495239592339f82.md
+++ b/docs/recommendations/c529f5b08675f787cdcc094ee495239592339f82.md
@@ -11,7 +11,7 @@ hide:
-
+
@@ -97,7 +97,7 @@ hide:
Karolis Martinkus, Aurélien Lucchi, Nathanael Perraudin
|
2020-10-14 |
- ArXiv, MAG, DBLP |
+ ArXiv, DBLP, MAG |
10 |
39 |
@@ -255,4 +255,16 @@ var dataTableOptions = {
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diff --git a/docs/recommendations/d39ad86d4617e069d89b6d62c760c2ba268a2b85.md b/docs/recommendations/d39ad86d4617e069d89b6d62c760c2ba268a2b85.md
index 764e1bd8..abdd7b74 100644
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@@ -11,7 +11,7 @@ hide:
-
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@@ -43,7 +43,7 @@ hide:
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Learning Space-Time Continuous Neural PDEs from Partially Observed States |
V. Iakovlev, Markus Heinonen, H. Lähdesmäki
@@ -55,7 +55,7 @@ hide:
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Learning data-driven discretizations for partial differential equations |
Yohai Bar-Sinai, Stephan Hoyer, Jason Hickey, M. Brenner
@@ -67,7 +67,7 @@ hide:
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A Deep Learning Approach for Predicting Spatiotemporal Dynamics From Sparsely Observed Data |
Priyabrata Saha, S. Mukhopadhyay
@@ -79,7 +79,7 @@ hide:
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Modeling Spatially Varying Physical Dynamics for Spatiotemporal Predictive Learning |
Yijun Lin, Yao-Yi Chiang
@@ -91,7 +91,7 @@ hide:
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Learning PDE Solution Operator for Continuous Modeling of Time-Series |
Yesom Park, Jaemoo Choi, Changyeon Yoon, Changhoon Song, Myung-joo Kang
@@ -103,7 +103,7 @@ hide:
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STENCIL-NET for equation-free forecasting from data |
S. Maddu, D. Sturm, B. Cheeseman, Christian L. Müller, I. Sbalzarini
@@ -115,7 +115,7 @@ hide:
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NeuralPDE: Modelling Dynamical Systems from Data |
Andrzej Dulny, A. Hotho, Anna Krause
@@ -127,7 +127,7 @@ hide:
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STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations |
S. Maddu, D. Sturm, B. Cheeseman, Christian L. Müller, I. Sbalzarini
@@ -139,7 +139,7 @@ hide:
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Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks |
Marten Lienen, Stephan Günnemann
@@ -151,7 +151,7 @@ hide:
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CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations |
Peter Yichen Chen, Jinxu Xiang, D. Cho, Yue Chang, G. Pershing, H. Maia, Maurizio M. Chiaramonte, K. Carlberg, E. Grinspun
@@ -246,13 +246,27 @@ var dataTableOptions = {
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var content = ' Abstract: ' + rowId + ' ';
row.child(content).show();
tr.addClass('shown');
+ tr.find('td:first-child').html('visibility');
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diff --git a/docs/recommendations/d6fdd8fc0c5fc052d040687e72638fb4297661cc.md b/docs/recommendations/d6fdd8fc0c5fc052d040687e72638fb4297661cc.md
index 91b68edd..9692fb4e 100644
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index 4c2ce655..c169354e 100644
--- a/docs/recommendations/d8d8e2c04ca47bd628bd2a499e03ad7cd29633da.md
+++ b/docs/recommendations/d8d8e2c04ca47bd628bd2a499e03ad7cd29633da.md
@@ -11,7 +11,7 @@ hide:
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@@ -145,7 +145,7 @@ hide:
S. Reiter, T. Schnappinger, R. Vivie-Riedle
|
2019-09-17 |
- MAG, DBLP |
+ DBLP, MAG |
2 |
27 |
@@ -255,4 +255,16 @@ var dataTableOptions = {
}
});
+
\ No newline at end of file
diff --git a/docs/recommendations/e0ee02a573b3d83fec55ed5d7c80f1afa055a7b4.md b/docs/recommendations/e0ee02a573b3d83fec55ed5d7c80f1afa055a7b4.md
index b2519d44..7f621fbf 100644
--- a/docs/recommendations/e0ee02a573b3d83fec55ed5d7c80f1afa055a7b4.md
+++ b/docs/recommendations/e0ee02a573b3d83fec55ed5d7c80f1afa055a7b4.md
@@ -11,7 +11,7 @@ hide:
-
+
@@ -243,4 +243,16 @@ var dataTableOptions = {
}
});
+
\ No newline at end of file
diff --git a/templates/positive_paper_recommendation.txt b/templates/positive_paper_recommendation.txt
index e8457359..93872306 100644
--- a/templates/positive_paper_recommendation.txt
+++ b/templates/positive_paper_recommendation.txt
@@ -39,7 +39,7 @@
{% for article in positive_paper_ids %}
- |
+ visibility_off |
{{article.info.title}} |
{{ article.authors|join(', ', attribute='name') }}
@@ -134,13 +134,27 @@ var dataTableOptions = {
// This row is already open - close it.
row.child.hide();
tr.removeClass('shown');
+ tr.find('td:first-child').html('visibility_off');
} else {
// Open row.
// row.child('foo').show();
var content = ' Abstract: ' + rowId + ' ';
row.child(content).show();
tr.addClass('shown');
+ tr.find('td:first-child').html('visibility');
}
});
+
| | |